Category Archives: Artificial Intelligence
Artificial Intelligence Markets in IVD, 2019-2024: Breakdown by Application and Component – GlobeNewswire
Dublin, May 15, 2020 (GLOBE NEWSWIRE) -- The "Artificial Intelligence Markets in IVD" report has been added to ResearchAndMarkets.com's offering.
This report examines selected AI-based initiatives, collaborations, and tests in various in vitro diagnostic (IVD) market segments.
Artificial Intelligence Markets in IVD contains the following important data points:
The past few years have seen extraordinary advances in artificial intelligence (AI) in clinical medicine. More products have been cleared for clinical use, more new research-use-only applications have come to market and many more are in development.
In recent years, diagnostics companies - in collaboration with AI companies - have begun implementing increasingly sophisticated machine learning techniques to improve the power of data analysis for patient care. The goal is to use developed algorithms to standardize and aid interpretation of test data by any medical professional irrespective of expertise. This way AI technology can assist pathologists, laboratorians, and clinicians in complex decision-making.
Digital pathology products and diabetes management devices were the first to come to market with data interpretation applications. The last few years have seen the use of AI interpretation apps extended to a broader range of products including microbiology, disease genetics, and cancer precision medicine.
This report will review some of the AI-linked tests and test services that have come to market and others that are in development in some of the following market segments:
Applications of AI are evolving that predict outcomes such as diagnosis, death, or hospital readmission; that improve upon standard risk assessment tools; that elucidate factors that contribute to disease progression; or that advance personalized medicine by predicting a patient's response to treatment. AI tools are in use and in development to review data and to uncover patterns in the data that can be used to improve analyses and uncover inefficiencies. Many enterprises are joining this effort.
The following are among the companies and institutions whose innovations are featured in Artificial Intelligence Markets in IVD:
Key Topics Covered
Chapter 1: Executive Summary
Chapter 2: Artificial Intelligence In Diagnostics Markets
Chapter 3: Market Analysis: Artificial Intelligence in Diagnostics
For more information about this report visit https://www.researchandmarkets.com/r/vw8l7u
Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
See the original post:
Artificial Intelligence Markets in IVD, 2019-2024: Breakdown by Application and Component - GlobeNewswire
This Man Created A Perfect AC/DC Song By Using Artificial Intelligence – Kerrang!
While weve long been enjoying some weird and wonderful mash-ups courtesy of the internets most hilarious and creative YouTubers, clearly its too much effort to be letting humans do all the work these days. As such, satirist Funk Turkey has handed the task of creating new material over to artificial intelligence, using robots to make a pretty ace AC/DCsong.
The track in question, Great Balls, came about use lyrics.rip to generate the words, before Funk channeled his best Brian Johnson to sing this hilarious mish-mash of lyrics (Wasnt the dog a touch too young to thrill? sorry, what?), and then backed it all with suitably AC/DC-esqueinstrumentation.
Read this next: Classic album covers redesigned for socialdistancing
Of course, theres hopefully real AC/DC material on the way at some point soon, with Twisted Sister vocalist Dee Snider revealing in December 2019 that all four surviving members have reunited for a new record, and, Its as close as you can get to the originalband.
Until then, though, heres Great Balls to tide usover:
In fairness, lyrics.rip is actually a pretty great little tool. We tried the same thing for Green Day to see what fine words would come out now, to get Billie Joe Armstrong to performthem:
An ambulance thats turning on the way across towncause you feeling sorry for that your whining eyesWhen September endsHere comes the waitingJust roamin for yourselfAre we are the silence with the brick of my way to search the story of my memory rests,but never forgets what I bleeding from the brick of my heads above the starsAre the waitingMy heads above the brick of self-controlTo live?My heads above the innocent can never lastTo searchthe
Okaythen.
Read this next: An exhaustive look at the phenomenon of celebrity cameos in musicvideos
Posted on May 15th 2020, 1:29pm
View original post here:
This Man Created A Perfect AC/DC Song By Using Artificial Intelligence - Kerrang!
TSA Issues Road Map to Tackle Insider Threat With Artificial Intelligence – Nextgov
The Transportation Security Administration is planning to increase and share information it collects, including that gleaned from employees, with other federal agencies and the private sector in an effort to prevent insiders from perpetrating various harmful malfeasance.
Artificial Intelligence, probabilistic analytics and data mining are among tools the agency lists in a document it issued today loosely outlining the problem and the plan to create an Insider Threat Mitigation Hub.
The Insider Threat Roadmap defines the common vision for the Transportation Systems Sector that insider threat is a community-wide challenge, since no single entity can successfully counter the threat alone, TSA Administrator David Pekoske wrote in an opening message.
In July 2019, a surveillance camera at the Miami International Airport captured footage of an airline mechanic sabotaging a planes navigation system with a simple piece of foam. The TSA road map describes this incident along with a number of others dating back to 2014 spanning a range of activities including terrorism, subversion and attempted or actual espionage, to stress the need for a layered strategy of overall transportation security.
A TSA press release identified three parts of that strategy as promoting data-driven decision making to detect threats; advancing operational capability to deter threats; and maturing capabilities to mitigate threats to the transportation sector.
Under the first objective, TSA plans to develop and maintain insider threat risk indicators, which could include behavioral, physical, technological or financial attributes that might expose malicious or potentially malicious insiders.
We must identify key information sources, and ensure they are accurate and available for use in informing risk mitigation activities, the document adds.
For the second objective, the document describes information-sharing plans with other federal agencies and industry.
We will establish an Insider Threat Mitigation Hub to elevate insider threat to the enterprise level and enable multiple offices, agencies, and industry entities to share perspectives, expertise, and data to enhance threat detection, assessment, and response across the TSS, the document reads. This capability will allow us to fuse together disparate information points to identify intricate patterns of conduct that may be unusual or indicative of insider threat activity and drive enhanced insider threat mitigation efforts.
Meeting the third objective would require seeking out the appropriate technology to improve detection and mitigation of insider threat TSA writes, and expanding it throughout the agencys supply chain.
TSA pre-empted concerns usually associated with massive data collection practices by including the protection of privacy and civil liberties among the guiding principles it said would accompany its efforts.
The rest is here:
TSA Issues Road Map to Tackle Insider Threat With Artificial Intelligence - Nextgov
Robots and Artificial Intelligence | HowStuffWorks
Artificial intelligence (AI) is arguably the most exciting field in robotics. It's certainly the most controversial: Everybody agrees that a robot can work in an assembly line, but there's no consensus on whether a robot can ever be intelligent.
Like the term "robot" itself, artificial intelligence is hard to define. Ultimate AI would be a recreation of the human thought process -- a man-made machine with our intellectual abilities. This would include the ability to learn just about anything, the ability to reason, the ability to use language and the ability to formulate original ideas. Roboticists are nowhere near achieving this level of artificial intelligence, but they have made a lot of progress with more limited AI. Today's AI machines can replicate some specific elements of intellectual ability.
Computers can already solve problems in limited realms. The basic idea of AI problem-solving is very simple, though its execution is complicated. First, the AI robot or computer gathers facts about a situation through sensors or human input. The computer compares this information to stored data and decides what the information signifies. The computer runs through various possible actions and predicts which action will be most successful based on the collected information. Of course, the computer can only solve problems it's programmed to solve -- it doesn't have any generalized analytical ability. Chess computers are one example of this sort of machine.
Some modern robots also have the ability to learn in a limited capacity. Learning robots recognize if a certain action (moving its legs in a certain way, for instance) achieved a desired result (navigating an obstacle). The robot stores this information and attempts the successful action the next time it encounters the same situation. Again, modern computers can only do this in very limited situations. They can't absorb any sort of information like a human can. Some robots can learn by mimicking human actions. In Japan, roboticists have taught a robot to dance by demonstrating the moves themselves.
Some robots can interact socially. Kismet, a robot at M.I.T's Artificial Intelligence Lab, recognizes human body language and voice inflection and responds appropriately. Kismet's creators are interested in how humans and babies interact, based only on tone of speech and visual cue. This low-level interaction could be the foundation of a human-like learning system.
Kismet and other humanoid robots at the M.I.T. AI Lab operate using an unconventional control structure. Instead of directing every action using a central computer, the robots control lower-level actions with lower-level computers. The program's director, Rodney Brooks, believes this is a more accurate model of human intelligence. We do most things automatically; we don't decide to do them at the highest level of consciousness.
The real challenge of AI is to understand how natural intelligence works. Developing AI isn't like building an artificial heart -- scientists don't have a simple, concrete model to work from. We do know that the brain contains billions and billions of neurons, and that we think and learn by establishing electrical connections between different neurons. But we don't know exactly how all of these connections add up to higher reasoning, or even low-level operations. The complex circuitry seems incomprehensible.
Because of this, AI research is largely theoretical. Scientists hypothesize on how and why we learn and think, and they experiment with their ideas using robots. Brooks and his team focus on humanoid robots because they feel that being able to experience the world like a human is essential to developing human-like intelligence. It also makes it easier for people to interact with the robots, which potentially makes it easier for the robot to learn.
Just as physical robotic design is a handy tool for understanding animal and human anatomy, AI research is useful for understanding how natural intelligence works. For some roboticists, this insight is the ultimate goal of designing robots. Others envision a world where we live side by side with intelligent machines and use a variety of lesser robots for manual labor, health care and communication. A number of robotics experts predict that robotic evolution will ultimately turn us into cyborgs -- humans integrated with machines. Conceivably, people in the future could load their minds into a sturdy robot and live for thousands of years!
In any case, robots will certainly play a larger role in our daily lives in the future. In the coming decades, robots will gradually move out of the industrial and scientific worlds and into daily life, in the same way that computers spread to the home in the 1980s.
The best way to understand robots is to look at specific designs. The links below will show you a variety of robot projects around the world.
Follow this link:
Robots and Artificial Intelligence | HowStuffWorks
A Brief History of Artificial Intelligence | Live Science
The idea of inanimate objects coming to life as intelligent beings has been around for a long time. The ancient Greeks had myths about robots, and Chinese and Egyptian engineers built automatons.
The beginnings of modern AI can be traced to classical philosophers' attempts to describe human thinking as a symbolic system. But the field of AI wasn't formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term "artificial intelligence" was coined.
MIT cognitive scientist Marvin Minsky and others who attended the conference were extremely optimistic about AI's future. "Within a generation[...] the problem of creating 'artificial intelligence' will substantially be solved," Minsky is quoted as saying in the book "AI: The Tumultuous Search for Artificial Intelligence" (Basic Books, 1994). [Super-Intelligent Machines: 7 Robotic Futures]
But achieving an artificially intelligent being wasn't so simple. After several reports criticizing progress in AI, government funding and interest in the field dropped off a period from 197480 that became known as the "AI winter." The field later revived in the 1980s when the British government started funding it again in part to compete with efforts by the Japanese.
The field experienced another major winter from 1987 to 1993, coinciding with the collapse of the market for some of the early general-purpose computers, and reduced government funding.
But research began to pick up again after that, and in 1997, IBM's Deep Blue became the first computer to beat a chess champion when it defeated Russian grandmaster Garry Kasparov. And in 2011, the computer giant's question-answering system Watson won the quiz show "Jeopardy!" by beating reigning champions Brad Rutter and Ken Jennings.
This year, the talking computer "chatbot" Eugene Goostman captured headlines for tricking judges into thinking he was real skin-and-blood human during a Turing test, a competition developed by British mathematician and computer scientist Alan Turing in 1950 as a way to assess whether a machine is intelligent.
But the accomplishment has been controversial, with artificial intelligence experts saying that only a third of the judges were fooled, and pointing out that the bot was able to dodge some questions by claiming it was an adolescent who spoke English as a second language.
Manyexperts now believe the Turing test isn't a good measure of artificial intelligence.
"The vast majority of people in AI who've thought about the matter, for the most part, think its a very poor test, because it only looks at external behavior," Perlis told Live Science.
In fact, some scientists now plan to develop an updated version of the test. But the field of AI has become much broader than just the pursuit of true, humanlike intelligence.
Follow Tanya Lewis on Twitterand Google+. Follow us @livescience, Facebook& Google+. Original article onLive Science.
Go here to read the rest:
A Brief History of Artificial Intelligence | Live Science
Top 18 Artificial Intelligence Platforms in 2020 – Reviews …
Category Any categoryA/B Testing SoftwareA/B Testing Software FreeAccount Based Marketing SoftwareAccounting SoftwareAccounting Software for Small Medium BusinessAccounting Software FreeAccounting Software Open SourceAdvertising Analytics SoftwareAffective Computing SoftwareAffiliate Marketing SoftwareAI PlatformsAI-based Medical Imaging - Breast ImagingAI-based Medical Imaging - GeneralAirline Reservations SystemAirline Software SuiteAll In One Business SoftwareAll in one CRM SoftwareAnalytics PlatformAnimation SoftwareAnomaly Detection SoftwareAnomaly Detection Software FreeAPI Management PlatformApplicant Tracking SoftwareApplicant Tracking Software FreeApplication Development SoftwareApplication Performance Management SoftwareAppointment Scheduling SoftwareArtificial Neural Network SoftwareAssociation Management SoftwareBackup SoftwareBakery SoftwareBalanced Scorecard SoftwareBalanced Scorecard Software Open SourceBehavioral Analytics SoftwareBI Acceleration PlatformBI Open Source FreeBI ToolsBig Data Streaming Analytics SoftwareBigdata AnalyticsBigdata Ingestion SoftwareBigdata PlatformBilling and Invoicing SoftwareBilling and Invoicing Software FreeBusiness Analytics PlatformBusiness Email ServicesBusiness Intelligence FreeBusiness Intelligence Open SourceBusiness Intelligence SoftwareBusiness Intelligence Software for SMBBusiness Phone SystemsBusiness Process Management SoftwareBusiness Process Management Software FreeBusiness Texting AppCAD SoftwareCAD Software FreeCalendaring SoftwareCall Center Automation SoftwareCall Tracking SoftwareCampaign and Lead Management SoftwareCampus Recruiting PlatformCash Flow Forecasting SoftwareChannel Integration PlatformChart Builder SoftwareChart Builder Software Open SourceChatbot PlatformChurch Management SoftwareCloud Business Intelligence SoftwareCloud Business Intelligence Software FreeCloud Management PlatformCognitive Computing SoftwareCognitive Search & Insights EngineCollaboration SoftwareColumn-Oriented DatabasesCommission Management SoftwareCompetitor Analysis SoftwareCompetitor Price Monitoring ToolsCompliance Management SoftwareConjoint Analysis SoftwareConstruction Project Management SoftwareContact Management SoftwareContact Management Software FreeContent Delivery Network ProvidersContent Marketing PlatformsContract Lifecycle Management SoftwareContract Management Software FreeConversion Rate Optimization SoftwareConversion Rate Optimization Software FreeCore HR SoftwareCourse Authoring SoftwareCPQ SoftwareCreative Management PlatformCRM Marketing SoftwareCRM SaaSCRM Sales SoftwareCRM Service SoftwareCRM SMB SoftwareCRM SoftwareCRM Software AccountantsCRM Software ConstructionCRM Software Financial AdvisersCRM Software FreeCRM Software FundraisingCRM Software GmailCRM Software HospitalityCRM Software Mid SizeCRM Software MobileCRM Software NonprofitCRM Software Open SourceCRM Software PharmaceuticalCRM Software Public SectorCRM Software Real EstateCRM Software StartupsCRM Software Travel AgenciesCrop Management SoftwareCustomer Analytics SoftwareCustomer Churn, Renew SoftwareCustomer Data PlatformCustomer Engagement PlatformCustomer Experience Management SoftwareCustomer Feedback Analysis SoftwareCustomer Intelligence PlatformCustomer Success SoftwareCustomer Upsell, Cross Sell SoftwareDashboard SoftwareDashboard Software FreeDashboard Software Open SourceData Analysis SoftwareData Analysis Software FreeData Blending SoftwareData Cleaning SoftwareData Discovery SoftwareData Integration PlatformData Preparation PlatformData Recovery SoftwareData Science PlatformData Security SoftwareData Virtualization SoftwareData Visualization SoftwareData Visualization Software FreeDatabaseDatabase as a Service NoSQL Data ModelDatabase as a Service SQL Data ModelDataMining SoftwareDataMining Software FreeDeep Learning SoftwareDesign SoftwareDigital Asset Management SoftwareDigital Commerce Platform Open SourceDigital Commerce PlatformsDistributed Order Management SoftwareDocument Generation SoftwareDocument Management SoftwareDomain Registration ProvidersDonor Management SoftwareDrawing ToolsDrawing Tools FreeE-Signature SoftwareEcommerce Analytics SoftwareEcommerce Chatbot PlatformeCommerce Search EngineEcommerce ToolsEHS SoftwareEmail and Collaboration HubEmail Intelligence PlatformEmail Marketing SoftwareEmail Marketing Software FreeEmbedded Business Intelligence SoftwareEmployee Engagement PlatformEmployee Scheduling SoftwareEnterprise Content Management SoftwareEnterprise IT Management Suites SoftwareEnterprise Performance Management SoftwareERP Integration ToolsERP SoftwareERP Software CloudERP Software ETOERP Software FreeERP Software LargeERP Software MTOERP Software Open SourceERP Software SMBERP UniversityETL SoftwareETL Software FreeEvent Management PlatformsEvent Management Software FreeEvent Management Software Open SourceExcel Business Intelligence SoftwareExpense Reporting SoftwareExpense Reporting Software FreeFacebook Chatbot PlatformFarm Management SoftwareFashion ERP SoftwareField Sales Management SoftwareField Service Management SoftwareFixed Asset Management SoftwareFleet Management SoftwareFlorist SoftwareFlowchart SoftwareFlowchart Software FreeForecasting SoftwareForm Builder SoftwareForm Builder Software FreeFree Antivirus SoftwareFund Accounting SoftwareFundraising SoftwareGamification SoftwareGantt Chart SoftwareGantt Chart Software FreeGrant Management SoftwareGrant Management Software FreeGraph DatabasesHadoop Analytics PlatformHadoop Data Integration and Management SoftwareHadoop Data Lake SoftwareHadoop PlatformHadoop Platform FreeHelp Desk SoftwareHelp Desk Software FreeHelp Desk Software Open SourceHR Cloud SoftwareHR CountryHR Integration PlatformHR Performance Management SoftwareHR Service Delivery SoftwareHR Software FreeHR Software Open SourceHR Software SMBHRMS SoftwareIdea & Innovation Management SoftwareIdentity and Access Management PlatformsIn Memory Data Grid PlatformIndustry Business Intelligence SoftwareInfluencer Management Platform & Influencer Marketing SoftwareInfographics MakerInfographics Maker FreeIntelligent Personal AssistantsIntelligent Process AutomationInventory Management SoftwareInvoicing & Credit SoftwareiPad POS SystemIssue Tracking SoftwareIT Business Analytics PlatformJava Web Framework SoftwareJewelry Store Management SoftwareKPI Tracking SoftwareLAN Access Infrastructure Wired & WirelessLead Capture SoftwareLead Intelligence SoftwareLead Mining SoftwareLearning Management SoftwareLearning Management Software Open SourceLeave Management SoftwareLegal Case Management SoftwareLegal Software Tools Free and Open SourceLink Management ToolsLive Chat SoftwareLive Chat Software FreeLivestock Management SoftwareLocation Intelligence SoftwareLog Management SoftwareLogo Maker Software FreeLow-Code Development PlatformLow-Code Development Platform FreeLow-Code Development Platform Open SourceLoyalty and Referral platformsLoyalty Management SoftwareMachine Learning LibraryMaintenance Management SoftwareManufacturers & Distributor BI SoftwareMapping Analytics SoftwareMarketing Analytics SoftwareMarketing Attribution SoftwareMarketing Automation SoftwareMarketing Automation Software FreeMarketing Automation Software Open SourceMarketing Cloud PlatformMarketing Performance Management SoftwareMaster Data Management SoftwareMedical Practice Management SoftwareMembership Management Software FreeMembership Management Software Open SourceMind Mapping SoftwareMind Mapping Software FreeMobile Analytics SoftwareMobile BI SoftwareMobile Commerce PlatformsMobile Marketing PlatformMobile Payment ProvidersMulti-Model DatabasesMulti-Value DatabasesNamed Entity Extraction SoftwareNetwork Monitoring SoftwareNetwork Monitoring Software FreeNewSQL DatabasesNoSQL DatabaseNoSQL Document DatabasesNoSQL Key Value DatabasesNote Taking Software or AppsObject DatabasesOKR SoftwareOnboarding SoftwareOnline Community Management SoftwareOnline Course Creator ToolsOnline Graphic Design ToolsOnline Group Decision PlatformOpportunity Management SoftwarePartner Management SoftwarePartner Marketing PlatformPassword Manager SoftwarePatch Management SoftwarePatch Management Software FreePayroll SoftwarePayroll Software FreePDF SoftwarePersonal Finance SoftwarePersonal Finance Software FreePersonal Use Antivirus SoftwarePersonalization Software and EnginesPHP Web Framework SoftwarePLM SoftwarePOS SoftwarePOS Software FreePOS Software Open SourcePoster and Flyer Maker FreePrecision Agriculture SoftwarePredictive Analytics APIPredictive Analytics SoftwarePredictive Analytics Software FreePredictive Lead Scoring SoftwarePredictive Maintenance SoftwarePrescriptive Analytics SoftwarePresentation SoftwarePrivacy Management SoftwarePrivate Cloud PlatformsProcurement SoftwareProcurement Software FreeProduct Management SoftwareProduct Reviews PlatformsProductivity ApsProductivity SoftwareProject Management SoftwareProject Management Software FreeProject Management Software Open SourceProject Portfolio Management (PPM) SoftwareProposal Management SoftwarePublic Cloud ProvidersPython Web Framework SoftwareQualitative Data Analysis SoftwareQualitative Data Analysis Software FreeQuality Inspection SoftwareQuality Management SoftwareRapid Application Development PlatformRDBMS FreeRelationship Intelligence SoftwareRemote Access SoftwareReporting SoftwareReporting Software FreeReporting Software Open SourceResource Scheduling SoftwareRestaurant POS SoftwareRetail Analytics SoftwareRetail Assortment Management SoftwareRetail Management SoftwareRetail Store POS SystemRetail Task Management SoftwareRevenue Management PlatformRisk Management SoftwareRobotic Process AutomationSales Analytics and Sales Intelligence Reporting SoftwareSales and Operations Planning (S&OP) SoftwareSales Enablement PlatformSales Force Automation SoftwareSales Intelligence PlatformSales Performance Management SoftwareSalesforce Application DevelopmentSalesforce AppsSalesforce Email IntegrationSalesforce Shipping AppsSalon & Spa Management SoftwareSearch Engine ServerSearch Engine Server FreeSearch Powered Analytics SoftwareSecurity Information and Event Management SoftwareSelf Employed Accounting SoftwareSelf Service AnalyticsSelf Service Data Preparation SoftwareSentiment Analysis SoftwareSEO SoftwareSmart Irrigation SoftwareSocial Commerce PlatformSocial CRM SoftwareSocial Media Analytics SoftwareSocial Media Analytics Software FreeSocial Media InstagramSocial Media Management SoftwareSocial Media Management Software FreeSocial Media Marketing SoftwareSocial Media PinterestSocial Media TwitterSocial Monitoring SoftwareSocial Publishing SoftwareSocial Publishing Software FreeSOP SoftwareSQL Business Intelligence SoftwareSQL Data Model Virtual Machine Deployment FreeSQL DatabaseSQL IDE SoftwareStatistical SoftwareStatistical Software FreeStatistical Text Analysis SoftwareStock Photos SitesStream Analytics Platforms Open SourceSubscription Box Business SoftwareSubscription Management SoftwareSubscription Management Software DigitalSupply Chain Analytics SoftwareSupply Chain Management SoftwareSurvey Analysis SoftwareSurvey SoftwareSustainability SoftwareSystem Cleanup SoftwareTalent Management SoftwareTask Management SoftwareTask Management Software FreeTask Management Software Open SourceText Analytics APIText Analytics SoftwareText Analytics Software FreeText Categorization SoftwareTime Clock Software SystemsTime Clock Software Systems FreeTime Tracking SoftwareTime Tracking Software FreeTMS Cloud SoftwareTMS SoftwareTour Operator SoftwareTrade Promotion Management SoftwareTransactional Email SoftwareTransactional Email Software FreeUnified Modeling Language ToolsUnified Modeling Language Tools FreeUnified Security Management SoftwareUser and Entity Behavior Analytics SoftwareUtilities Customer Information SystemsVeterinary Practice Management SoftwareVideo Editing SoftwareVideo Editing Software FreeVineyard Management SoftwareVirtual Machine Deployment No SQL Data ModelVirtual Machine Deployment SQL Data ModelVoIP SystemVPN ServicesWarehousing, Logistics, and Fulfillment Service ProvidersWaste Management SoftwareWeb Analytics SoftwareWeb Analytics Software FreeWeb Application FirewallWeb Conferencing SoftwareWeb Content Management SystemsWeb Framework SoftwareWeb Hosting ServicesWeb Hosting Services FreeWeb Log Analysis SoftwareWeb Payment Gateways and ProcessorsWeb Scraping ToolsWeb Scraping Tools FreeWeb SearchEngine SoftwareWebinar SoftwareWebsite Builder SoftwareWebsite Builder Software FreeWinery Management SoftwareWM SoftwareWorkflow Automation SoftwareWorkflow Automation Software FreeWorkforce Intelligence SoftwareWorkforce Management SoftwareWorkforce Management Software SMBWorkforce Optimization SoftwareYard Management SoftwareArtificial Intelligence Consulting ProvidersMicrosoft Dynamics PartnersQlik Systems Integrators and ConsultantsSAP Ariba Consulting ServicesSAP Business ByDesign ConsultingSAP Business One ConsultingSAP BusinessObjects ConsultingSAP Hybris ConsultingSAP S/4 HANA ConsultingSAP SuccessFactors ConsultingTableau Alliance PartnersExecutive MBA ProgramsFinance Masters ProgramsHuman Resources Masters ProgramsMBA Full Time 1 YearMBA Full Time 2 YearMBA Full Time ProgramsMS Data Science SchoolsProject Management Masters OnlineProject Management Masters ProgramsSupply Chain Masters ProgramsSupply Chain Masters Programs Online
Products
Category Any categoryA/B Testing SoftwareA/B Testing Software FreeAccount Based Marketing SoftwareAccounting SoftwareAccounting Software for Small Medium BusinessAccounting Software FreeAccounting Software Open SourceAdvertising Analytics SoftwareAffective Computing SoftwareAffiliate Marketing SoftwareAI PlatformsAI-based Medical Imaging - Breast ImagingAI-based Medical Imaging - GeneralAirline Reservations SystemAirline Software SuiteAll In One Business SoftwareAll in one CRM SoftwareAnalytics PlatformAnimation SoftwareAnomaly Detection SoftwareAnomaly Detection Software FreeAPI Management PlatformApplicant Tracking SoftwareApplicant Tracking Software FreeApplication Development SoftwareApplication Performance Management SoftwareAppointment Scheduling SoftwareArtificial Neural Network SoftwareAssociation Management SoftwareBackup SoftwareBakery SoftwareBalanced Scorecard SoftwareBalanced Scorecard Software Open SourceBehavioral Analytics SoftwareBI Acceleration PlatformBI Open Source FreeBI ToolsBig Data Streaming Analytics SoftwareBigdata AnalyticsBigdata Ingestion SoftwareBigdata PlatformBilling and Invoicing SoftwareBilling and Invoicing Software FreeBusiness Analytics PlatformBusiness Email ServicesBusiness Intelligence FreeBusiness Intelligence Open SourceBusiness Intelligence SoftwareBusiness Intelligence Software for SMBBusiness Phone SystemsBusiness Process Management SoftwareBusiness Process Management Software FreeBusiness Texting AppCAD SoftwareCAD Software FreeCalendaring SoftwareCall Center Automation SoftwareCall Tracking SoftwareCampaign and Lead Management SoftwareCampus Recruiting PlatformCash Flow Forecasting SoftwareChannel Integration PlatformChart Builder SoftwareChart Builder Software Open SourceChatbot PlatformChurch Management SoftwareCloud Business Intelligence SoftwareCloud Business Intelligence Software FreeCloud Management PlatformCognitive Computing SoftwareCognitive Search & Insights EngineCollaboration SoftwareColumn-Oriented DatabasesCommission Management SoftwareCompetitor Analysis SoftwareCompetitor Price Monitoring ToolsCompliance Management SoftwareConjoint Analysis SoftwareConstruction Project Management SoftwareContact Management SoftwareContact Management Software FreeContent Delivery Network ProvidersContent Marketing PlatformsContract Lifecycle Management SoftwareContract Management Software FreeConversion Rate Optimization SoftwareConversion Rate Optimization Software FreeCore HR SoftwareCourse Authoring SoftwareCPQ SoftwareCreative Management PlatformCRM Marketing SoftwareCRM SaaSCRM Sales SoftwareCRM Service SoftwareCRM SMB SoftwareCRM SoftwareCRM Software AccountantsCRM Software ConstructionCRM Software Financial AdvisersCRM Software FreeCRM Software FundraisingCRM Software GmailCRM Software HospitalityCRM Software Mid SizeCRM Software MobileCRM Software NonprofitCRM Software Open SourceCRM Software PharmaceuticalCRM Software Public SectorCRM Software Real EstateCRM Software StartupsCRM Software Travel AgenciesCrop Management SoftwareCustomer Analytics SoftwareCustomer Churn, Renew SoftwareCustomer Data PlatformCustomer Engagement PlatformCustomer Experience Management SoftwareCustomer Feedback Analysis SoftwareCustomer Intelligence PlatformCustomer Success SoftwareCustomer Upsell, Cross Sell SoftwareDashboard SoftwareDashboard Software FreeDashboard Software Open SourceData Analysis SoftwareData Analysis Software FreeData Blending SoftwareData Cleaning SoftwareData Discovery SoftwareData Integration PlatformData Preparation PlatformData Recovery SoftwareData Science PlatformData Security SoftwareData Virtualization SoftwareData Visualization SoftwareData Visualization Software FreeDatabaseDatabase as a Service NoSQL Data ModelDatabase as a Service SQL Data ModelDataMining SoftwareDataMining Software FreeDeep Learning SoftwareDesign SoftwareDigital Asset Management SoftwareDigital Commerce Platform Open SourceDigital Commerce PlatformsDistributed Order Management SoftwareDocument Generation SoftwareDocument Management SoftwareDomain Registration ProvidersDonor Management SoftwareDrawing ToolsDrawing Tools FreeE-Signature SoftwareEcommerce Analytics SoftwareEcommerce Chatbot PlatformeCommerce Search EngineEcommerce ToolsEHS SoftwareEmail and Collaboration HubEmail Intelligence PlatformEmail Marketing SoftwareEmail Marketing Software FreeEmbedded Business Intelligence SoftwareEmployee Engagement PlatformEmployee Scheduling SoftwareEnterprise Content Management SoftwareEnterprise IT Management Suites SoftwareEnterprise Performance Management SoftwareERP Integration ToolsERP SoftwareERP Software CloudERP Software ETOERP Software FreeERP Software LargeERP Software MTOERP Software Open SourceERP Software SMBERP UniversityETL SoftwareETL Software FreeEvent Management PlatformsEvent Management Software FreeEvent Management Software Open SourceExcel Business Intelligence SoftwareExpense Reporting SoftwareExpense Reporting Software FreeFacebook Chatbot PlatformFarm Management SoftwareFashion ERP SoftwareField Sales Management SoftwareField Service Management SoftwareFixed Asset Management SoftwareFleet Management SoftwareFlorist SoftwareFlowchart SoftwareFlowchart Software FreeForecasting SoftwareForm Builder SoftwareForm Builder Software FreeFree Antivirus SoftwareFund Accounting SoftwareFundraising SoftwareGamification SoftwareGantt Chart SoftwareGantt Chart Software FreeGrant Management SoftwareGrant Management Software FreeGraph DatabasesHadoop Analytics PlatformHadoop Data Integration and Management SoftwareHadoop Data Lake SoftwareHadoop PlatformHadoop Platform FreeHelp Desk SoftwareHelp Desk Software FreeHelp Desk Software Open SourceHR Cloud SoftwareHR CountryHR Integration PlatformHR Performance Management SoftwareHR Service Delivery SoftwareHR Software FreeHR Software Open SourceHR Software SMBHRMS SoftwareIdea & Innovation Management SoftwareIdentity and Access Management PlatformsIn Memory Data Grid PlatformIndustry Business Intelligence SoftwareInfluencer Management Platform & Influencer Marketing SoftwareInfographics MakerInfographics Maker FreeIntelligent Personal AssistantsIntelligent Process AutomationInventory Management SoftwareInvoicing & Credit SoftwareiPad POS SystemIssue Tracking SoftwareIT Business Analytics PlatformJava Web Framework SoftwareJewelry Store Management SoftwareKPI Tracking SoftwareLAN Access Infrastructure Wired & WirelessLead Capture SoftwareLead Intelligence SoftwareLead Mining SoftwareLearning Management SoftwareLearning Management Software Open SourceLeave Management SoftwareLegal Case Management SoftwareLegal Software Tools Free and Open SourceLink Management ToolsLive Chat SoftwareLive Chat Software FreeLivestock Management SoftwareLocation Intelligence SoftwareLog Management SoftwareLogo Maker Software FreeLow-Code Development PlatformLow-Code Development Platform FreeLow-Code Development Platform Open SourceLoyalty and Referral platformsLoyalty Management SoftwareMachine Learning LibraryMaintenance Management SoftwareManufacturers & Distributor BI SoftwareMapping Analytics SoftwareMarketing Analytics SoftwareMarketing Attribution SoftwareMarketing Automation SoftwareMarketing Automation Software FreeMarketing Automation Software Open SourceMarketing Cloud PlatformMarketing Performance Management SoftwareMaster Data Management SoftwareMedical Practice Management SoftwareMembership Management Software FreeMembership Management Software Open SourceMind Mapping SoftwareMind Mapping Software FreeMobile Analytics SoftwareMobile BI SoftwareMobile Commerce PlatformsMobile Marketing PlatformMobile Payment ProvidersMulti-Model DatabasesMulti-Value DatabasesNamed Entity Extraction SoftwareNetwork Monitoring SoftwareNetwork Monitoring Software FreeNewSQL DatabasesNoSQL DatabaseNoSQL Document DatabasesNoSQL Key Value DatabasesNote Taking Software or AppsObject DatabasesOKR SoftwareOnboarding SoftwareOnline Community Management SoftwareOnline Course Creator ToolsOnline Graphic Design ToolsOnline Group Decision PlatformOpportunity Management SoftwarePartner Management SoftwarePartner Marketing PlatformPassword Manager SoftwarePatch Management SoftwarePatch Management Software FreePayroll SoftwarePayroll Software FreePDF SoftwarePersonal Finance SoftwarePersonal Finance Software FreePersonal Use Antivirus SoftwarePersonalization Software and EnginesPHP Web Framework SoftwarePLM SoftwarePOS SoftwarePOS Software FreePOS Software Open SourcePoster and Flyer Maker FreePrecision Agriculture SoftwarePredictive Analytics APIPredictive Analytics SoftwarePredictive Analytics Software FreePredictive Lead Scoring SoftwarePredictive Maintenance SoftwarePrescriptive Analytics SoftwarePresentation SoftwarePrivacy Management SoftwarePrivate Cloud PlatformsProcurement SoftwareProcurement Software FreeProduct Management SoftwareProduct Reviews PlatformsProductivity ApsProductivity SoftwareProject Management SoftwareProject Management Software FreeProject Management Software Open SourceProject Portfolio Management (PPM) SoftwareProposal Management SoftwarePublic Cloud ProvidersPython Web Framework SoftwareQualitative Data Analysis SoftwareQualitative Data Analysis Software FreeQuality Inspection SoftwareQuality Management SoftwareRapid Application Development PlatformRDBMS FreeRelationship Intelligence SoftwareRemote Access SoftwareReporting SoftwareReporting Software FreeReporting Software Open SourceResource Scheduling SoftwareRestaurant POS SoftwareRetail Analytics SoftwareRetail Assortment Management SoftwareRetail Management SoftwareRetail Store POS SystemRetail Task Management SoftwareRevenue Management PlatformRisk Management SoftwareRobotic Process AutomationSales Analytics and Sales Intelligence Reporting SoftwareSales and Operations Planning (S&OP) SoftwareSales Enablement PlatformSales Force Automation SoftwareSales Intelligence PlatformSales Performance Management SoftwareSalesforce Application DevelopmentSalesforce AppsSalesforce Email IntegrationSalesforce Shipping AppsSalon & Spa Management SoftwareSearch Engine ServerSearch Engine Server FreeSearch Powered Analytics SoftwareSecurity Information and Event Management SoftwareSelf Employed Accounting SoftwareSelf Service AnalyticsSelf Service Data Preparation SoftwareSentiment Analysis SoftwareSEO SoftwareSmart Irrigation SoftwareSocial Commerce PlatformSocial CRM SoftwareSocial Media Analytics SoftwareSocial Media Analytics Software FreeSocial Media InstagramSocial Media Management SoftwareSocial Media Management Software FreeSocial Media Marketing SoftwareSocial Media PinterestSocial Media TwitterSocial Monitoring SoftwareSocial Publishing SoftwareSocial Publishing Software FreeSOP SoftwareSQL Business Intelligence SoftwareSQL Data Model Virtual Machine Deployment FreeSQL DatabaseSQL IDE SoftwareStatistical SoftwareStatistical Software FreeStatistical Text Analysis SoftwareStock Photos SitesStream Analytics Platforms Open SourceSubscription Box Business SoftwareSubscription Management SoftwareSubscription Management Software DigitalSupply Chain Analytics SoftwareSupply Chain Management SoftwareSurvey Analysis SoftwareSurvey SoftwareSustainability SoftwareSystem Cleanup SoftwareTalent Management SoftwareTask Management SoftwareTask Management Software FreeTask Management Software Open SourceText Analytics APIText Analytics SoftwareText Analytics Software FreeText Categorization SoftwareTime Clock Software SystemsTime Clock Software Systems FreeTime Tracking SoftwareTime Tracking Software FreeTMS Cloud SoftwareTMS SoftwareTour Operator SoftwareTrade Promotion Management SoftwareTransactional Email SoftwareTransactional Email Software FreeUnified Modeling Language ToolsUnified Modeling Language Tools FreeUnified Security Management SoftwareUser and Entity Behavior Analytics SoftwareUtilities Customer Information SystemsVeterinary Practice Management SoftwareVideo Editing SoftwareVideo Editing Software FreeVineyard Management SoftwareVirtual Machine Deployment No SQL Data ModelVirtual Machine Deployment SQL Data ModelVoIP SystemVPN ServicesWarehousing, Logistics, and Fulfillment Service ProvidersWaste Management SoftwareWeb Analytics SoftwareWeb Analytics Software FreeWeb Application FirewallWeb Conferencing SoftwareWeb Content Management SystemsWeb Framework SoftwareWeb Hosting ServicesWeb Hosting Services FreeWeb Log Analysis SoftwareWeb Payment Gateways and ProcessorsWeb Scraping ToolsWeb Scraping Tools FreeWeb SearchEngine SoftwareWebinar SoftwareWebsite Builder SoftwareWebsite Builder Software FreeWinery Management SoftwareWM SoftwareWorkflow Automation SoftwareWorkflow Automation Software FreeWorkforce Intelligence SoftwareWorkforce Management SoftwareWorkforce Management Software SMBWorkforce Optimization SoftwareYard Management SoftwareArtificial Intelligence Consulting ProvidersMicrosoft Dynamics PartnersQlik Systems Integrators and ConsultantsSAP Ariba Consulting ServicesSAP Business ByDesign ConsultingSAP Business One ConsultingSAP BusinessObjects ConsultingSAP Hybris ConsultingSAP S/4 HANA ConsultingSAP SuccessFactors ConsultingTableau Alliance PartnersExecutive MBA ProgramsFinance Masters ProgramsHuman Resources Masters ProgramsMBA Full Time 1 YearMBA Full Time 2 YearMBA Full Time ProgramsMS Data Science SchoolsProject Management Masters OnlineProject Management Masters ProgramsSupply Chain Masters ProgramsSupply Chain Masters Programs Online
By clicking Sign In with Social Media, you agree to let PAT RESEARCH store, use and/or disclose your Social Media profile and email address in accordance with the PAT RESEARCH Privacy Policy and agree to the Terms of Use.
We are the movers and shakers of B2B Software & Services.We have been copied by many including the you know who?
Why not get it straight and right from the original source. Join over 50,000+ Executives by subscribing to our newsletter... its FREE ! and get fully confidential personalized recommendations for your software and services search
Privacy Policy: We hate SPAM and promise to keep your email address safe.
{"cookieName":"wBounce","isAggressive":false,"isSitewide":true,"hesitation":"20","openAnimation":"rotateInDownRight","exitAnimation":"rotateOutDownRight","timer":"","sensitivity":"20","cookieExpire":"1","cookieDomain":"","autoFire":"","isAnalyticsEnabled":true}
View post:
Top 18 Artificial Intelligence Platforms in 2020 - Reviews ...
Artificial Intelligence Algorithms For Beginners | Edureka
We can all agree that Artificial Intelligence has created a huge impact on the worlds economy and will continue to do so since were aiding its growth by producing an immeasurable amount of data. Thanks to the advancement in Artificial Intelligence Algorithms we can deal with such humungous data. In this blog post, you will understand the different Artificial Intelligence Algorithms and how they can be used to solve real-world problems.
To get in-depth knowledge of Artificial Intelligence and Machine Learning, you can enroll for liveMachine Learning Engineer Master Programby Edureka with 24/7 support and lifetime access.
Heres a list of topics that will be covered in this post:
To simply put it, Artificial Intelligence is the science of getting machines to think and make decisions like human beings do.
Since the development of complex Artificial Intelligence Algorithms, it has been able to accomplish this by creating machines and robots that are applied in a wide range of fields including agriculture, healthcare, robotics, marketing, business analytics and many more.
Before we move any further lets try to understand what Machine Learning is and how does it is related to AI.
Generally, an algorithm takes some input and uses mathematics and logic to produce the output. In stark contrast, an Artificial Intelligence Algorithm takes a combination of both inputs and outputs simultaneously in order to learn the data and produce outputs when given new inputs.
This process of making machines learn from data is what we call MachineLearning.
Artificial Intelligence Algorithm Artificial Intelligence Algorithms Edureka
Machine Learning is a sub-field of Artificial Intelligence, where we try to bring AI into the equation by learning the input data.
If youre curious to learn more about Machine Learning, give the following blogs a read:
Machines can follow different approaches to learn depending on the data set and the problem that is being solved. In the below section well understand the different ways in which machines can learn.
Machine Learning can be done in the following ways:
Lets briefly understand the idea behind each type of Machine Learning.
In Supervised Learning, as the name rightly suggests, it involves making the algorithm learn the data while providing the correct answers or the labels to the data. This essentially means that the classes or the values to be predicted are known and well defined for the algorithm from the very beginning.
The other class falls under Unsupervised Learning, where, unlike supervised methods the algorithm doesnt have correct answers or any answers at all, it is up to the algorithms discretion to bring together similar data and understand it.
Along with these two prominent classes, we also have a third class, called Reinforcement Learning. Just as children are generally reinforced certain ideas, principles by either rewarding them when doing the right thing or punishing upon doing something wrong, in Reinforcement Learning, there are rewards given to the algorithm upon every correct prediction thus driving the accuracy higher up.
Heres a short video recorded by our Machine Learning experts. This will help you understand the difference between Supervised, Unsupervised and Reinforcement learning.
While the above three classes cover most fields comprehensively, we sometimes still land into the issue of having to bump up the performance of our model. In such cases it might make sense, to use ensemble methods (explained later) to get the accuracy higher up.
Now lets understand how Artificial Intelligence algorithms can be used to solve different types of problems.
Algorithms in each category, in essence, perform the same task of predicting outputs given unknown inputs, however, here data is the key driver when it comes to picking the right algorithm.
What follows is an outline of categories of Machine Learning problems with a brief overview of the same:
Heres a table that effectively differentiates each of these categories of problems.
Type Of Problems Solved Using AI Artificial Intelligence Algorithms Edureka
For each category of tasks, we can use specific algorithms. In the below section youll understand how a category of algorithms can be used as a solution to complex problems.
As mentioned above, different Artificial Intelligence algorithms can be used to solve a category of problems. In the below section well see the different types of algorithms that fall under Classification, Regression and Clustering problems.
Classification, as the name suggests is the act of dividing the dependent variable (the one we try to predict) into classes and then predict a class for a given input. It falls into the category of Supervised Machine Learning, where the data set needs to have the classes, to begin with.Thus, classification comes into play at any place where we need to predict an outcome, from a set number of fixed, predefined outcomes.
Classification uses an array of algorithms, a few of them listed below
Let us break them down and see where they fit in when it comes to application.
Naive Bayes algorithm follows the Bayes theorem, which unlike all the other algorithms in this list, follows a probabilistic approach. This essentially means, that instead of jumping straight into the data, the algorithm has a set of prior probabilities set for each of the classes for your target.
Once you feed in the data, the algorithm updates these prior probabilities to form something known as the posterior probability.Hence this can be extremely useful in cases where you need to predict whether your input belongs to either a given list of n classes or does it not belong to any of them. This can be possible using a probabilistic approach mainly because the probabilities thrown for all the n classes will be quite low.
Let us try to understand this with an example, of a person playing golf, depending on factors like the weather outside.
We first try to generate the frequencies with which certain events occur, in this case, we try to find frequencies of the person playing golf if its sunny, rainy, etc outside.
Naive Bayes Artificial Intelligence Algorithms Edureka
Using these frequencies we generate our apriori or initial probabilities (eg, the probability of overcast is 0.29 while the general probability of playing is 0.64)
Next up, we generate the posterior probabilities, where we try to answer questions like what would be the probability of it being sunny outside and the person would play golf?
We use the Bayesian formula here,
P(Yes | Sunny) = P( Sunny | Yes) * P(Yes) / P (Sunny)Here we have P (Sunny |Yes) = 3/9 = 0.33, P(Sunny) = 5/14 = 0.36, P( Yes)= 9/14 = 0.64
You can go through this A Comprehensive Guide To Naive Bayes blog to help you understand the math behind Naive Bayes.
The Decision Tree can essentially be summarized as a flowchart-like tree structure where each external node denotes a test on an attribute and each branch represents the outcome of that test. The leaf nodes contain the actual predicted labels. We start from the root of the tree and keep comparing attribute values until we reach a leaf node.
Decision Trees Artificial Intelligence Algorithms Edureka
We use this classifier when handling high dimensional data and when little time has been spent behind data preparation. However, a word of caution they tend to overfit and are prone to change drastically even with slight nuances in the training data.
You can through these blogs to learn more about Decision Trees:
Think of this as a committee of Decision Trees, where each decision tree has been fed a subset of the attributes of data and predicts on the basis of that subset. The average of the votes of all decision trees are taken into account and the answer is given.
An advantage of using Random Forest is that it alleviates the problem of overfitting which was present in a standalone decision tree, leading to a much more robust and accurate classifier.
Random Forest Artificial Intelligence Algorithms Edureka
As we can see in the above image, we have 5 decision trees trying to classify a color. Here 3 of these 5 decision trees predict blue and two have different outputs, namely green and red. In this case, we take the average of all the outputs, which gives blue as the highest weightage.
Heres a blog on Random Forest Classifier that will help you understand the working of Random forest algorithm and how it can be used to solve real-world problems.
Its a go-to method mainly for binary classification tasks. The term logistic comes from the logit function that is used in this method of classification. The logistic function, also called as the sigmoid function is an S-shaped curve that can take any real-valued number and map it between 0 and 1 but never exactly at those limits.
Logistic Regression Artificial Intelligence Algorithms Edureka
Lets assume that your little brother is trying to get into grad school, and you want to predict whether hell get admitted in his dream establishment. So, based on his CGPA and the past data, you can use Logistic Regression to foresee the outcome.
Logistic Regression allows you to analyze a set of variables and predict a categorical outcome. Since here we need to predict whether he will get into the school or not, which is a classification problem, logistic regression would be ideal.
Logistic Regression is used to predict house values, customer lifetime value in the insurance sector, etc.
An SVM is unique, in the sense that it tries to sort the data with the margins between two classes as far apart as possible. This is called maximum margin separation.
Another thing to take note of here is the fact that SVMs take into account only the support vectors while plotting the hyperplane, unlike linear regression which uses the entire dataset for that purpose. This makes SVMs quite useful in situations when data is in high dimensions.
Lets try to understand this with an example. In the below figure we have to classify data points into two different classes (squares and triangles).
Support Vector Machine Artificial Intelligence Algorithms Edureka
So, you start off by drawing a random hyperplane and then you check the distance between the hyperplane and the closest data points from each class. These closest data points to the hyperplane are known as Support vectors. And thats where the name comes from, Support Vector Machine.
The hyperplane is drawn based on these support vectors and an optimum hyperplane will have a maximum distance from each of the support vectors. And this distance between the hyperplane and the support vectors is known as the margin.
To sum it up, SVM is used to classify data by using a hyperplane, such that the distance between the hyperplane and the support vectors is maximum.
To learn more about SVM, you can go through this, Using SVM To Predict Heart Diseases blog.
KNN is a non-parametric (here non-parametric is just a fancy term which essentially means that KNN does not make any assumptions on the underlying data distribution), lazy learning algorithm (here lazy means that the training phase is fairly short).
Its purpose is to use a whole bunch of data points separated into several classes to predict the classification of a new sample point.
The following points serve as an overview of the general working of the algorithm:
However, there are some downsides to using KNN. These downsides mainly revolve around the fact that KNN works on storing the entire dataset and comparing new points to existing ones. This means that the storage space increases as our training set increases. This also means that the estimation time increases in proportion to the number of training points.
The following blogs will help you understand how the KNN algorithm works in depth:
Now lets understand how regression problems can be solved by using regression algorithms.
In the case of regression problems, the output is a continuous quantity. Meaning that we can use regression algorithms in cases where the target variable is a continuous variable. It falls into the category of Supervised Machine Learning, where the data set needs to have the labels, to begin with.
Linear Regression is the most simple and effective regression algorithm. It is utilized to gauge genuine qualities (cost of houses, number of calls, all out deals and so forth.) in view of the consistent variable(s). Here, we build up a connection between free and ward factors by fitting the best line. This best fit line is known as regression line and spoken to by a direct condition Y= a *X + b.
Linear Regression Artificial Intelligence Algorithms Edureka
Let us take a simple example here to understand linear regression.
Consider that you are given the challenge to estimate an unknown persons weight by just looking at them. With no other values in hand, this might look like a fairly difficult task, however using your past experience you know that generally speaking the taller someone is, the heavier they are compared to a shorter person of the same build. This is linear regression, in actuality!
However, linear regression is best used in approaches involving a low number of dimensions. Also, not every problem is linearly separable.
Some of the most popular applications of Linear regression are in financial portfolio prediction, salary forecasting, real estate predictions and in traffic in arriving at ETAs
Now lets discuss how clustering problems can be solved by using the K-means algorithm. Before that, lets understand what clustering is.
The basic idea behind clustering is to assign the input into two or more clusters based on feature similarity. It falls into the category of Unsupervised Machine Learning, where the algorithm learns the patterns and useful insights from data without any guidance (labeled data set).
For example, clustering viewers into similar groups based on their interests, age, geography, etc can be done by using Unsupervised Learning algorithms like K-Means Clustering.
K-means is probably the simplest unsupervised learning approach. The idea here is to gather similar data points together and bind them together in the form of a cluster. It does this by calculating the centroid of the group of data points.
To carry out effective clustering, k-means evaluates the distance between each point from the centroid of the cluster. Depending on the distance between the data point and the centroid, the data is assigned to the closest cluster. The goal of clustering is to determine the intrinsic grouping in a set of unlabelled data.
K-means Artificial Intelligence Algorithms Edureka
The K in K-means stands for the number of clusters formed. The number of clusters (basically the number of classes in which your new instances of data can fall into) is determined by the user.
K-means is used majorly in cases where the data set has points which are distinct and well separated from each other, otherwise, the clusters wont be far apart, rendering them inaccurate. Also, K-means should be avoided in cases where the data set contains a high amount of outliers or the data set is non-linear.
So that was a brief about K-means algorithm, to learn more you can go through this content recorded by our Machine Learning experts.
In cases where data is of abundance and prediction precision is of high value, boosting algorithms come into the picture.
Consider the scenario, you have a decision tree trained on a data set along with a whole bunch of hyperparameter tuning already performed, however, the final accuracy is still slightly off than youd like. In this case, while it might seem that you have run out of possible things to try, ensemble learning comes to the rescue.
Ensemble Learning Artificial Intelligence Algorithms Edureka
You have two different ways in which you can use ensemble learning, in this case, to bump up your accuracy. Let us say your decision tree was failing on a set of input test values, what you do now is, to train a new decision tree model and give a higher weighting to those input test values that your previous model struggled with. This is also called as Boosting, where our initial tree can be formally stated as a weak learner, and the mistakes caused by that model pave way for a better and stronger model.
Another way to approach this is by simply training a whole bunch of trees at once (this can be done fairly quickly and in a parallel fashion) and then taking outputs from each tree and averaging them out. So this way, if after training 10 trees, lets say 6 trees reply positive to input and 4 trees reply negative, the output you consider is positive. This is formally known as Bagging.
They are used to reduce the bias and variance in supervised learning techniques. There are a host of boosting algorithms available, a few of them discussed below:
Here is the original post:
Artificial Intelligence Algorithms For Beginners | Edureka
Women wanted: Why now could be a good time for women to pursue a career in AI – CNBC
The coronavirus pandemic has upended countless jobs and even entire industries, leaving many wondering which will emerge out of the other side.
One industry likely to endure or even thrive under the virus, however, is artificial intelligence (AI), which could offer a glimpse into one of the rising careers of the future.
"This outbreak is creating overwhelming uncertainty and also greater demand for AI," IBM's vice president of data and AI, Ritika Gunnar told CNBC Make It.
Already, AI has been deployed sweepingly to help tackle the pandemic. Hospitals use the technology to diagnose patients; governments employ it in contact tracing apps and companies rely on it to support the biggest work from home experiment in history.
And that demand is only set to rise. Market research company International Data Corporation says it expects the number of AI jobs globally to grow 16% this year.
That could create new opportunities in an otherwise challenging jobs market. But the industry will need more women, in particular, if it is to overcome some of its historic bias challenges.
"In order to remove bias from AI, you need diverse perspectives among the people working on it. That means more women, and more diversity overall, in AI," said Gunnar.
The industry has been making progress lately. In a new report released Wednesday,IBMfound the majority (85%) of AI professionals think the industry has become more diverse over recent years, which has had a positive impact on the technology.
Of the more than 3,200 people surveyed acrossNorth America, Europe and India, 86% said they are now confident in AI systems' ability to make decisions without bias.
The AI opportunities from this crisis are numerous and the career opportunities are there.
Lisa Bouari
executive director, OutThought AI Assistants
However, Lisa Bouari, executive director at OutThought AI Assistants and a recipient of IBM's Women Leaders in AI awards, said more needs to be done to encourage women into the industry and keep them there.
"Attracting and retaining women are two halves of the same issue supporting a greater balance of women in AI," said Bouari. "The issues highlighted in the report around career progression, and hurdles, hold the keys to helping women stay in AI careers, and ultimately attracting more women as the status quo evolves."
For Gunnar, that means getting more women and girls excited about AI from a young age.
"We should expose girls to AI, math and science at a much earlier age so they have a support system in place," said Gunnar.
Indeed, IBM's report noted that although more women have been drawn to the industry over recent years, they did not consider AI a viable career path until later in life due to a lack of support during early education.
A plurality of men (46%) said they became interested in a tech career in high school or earlier, while a majority of women (53%) only considered it a possible path during their undergraduate degree or grad school.
But Bouari said she's hopeful that the surge in demand for AI currently can help drive the industry forward.
"The AI opportunities from this crisis are numerous and the career opportunities are there if we can successfully move hurdles and adopt it efficiently," she said.
Don't miss:Reaching gender equality at work means getting over this major hurdle first
Like this story?Subscribe to CNBC Make It on YouTube!
See the original post:
Women wanted: Why now could be a good time for women to pursue a career in AI - CNBC
Global Artificial Intelligence in Agriculture Industry (2020 to 2026) – Developing Countries to Offer Significant Growth Opportunities – GlobeNewswire
Dublin, May 06, 2020 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.
The AI in the agriculture market is projected to grow at a CAGR of 25.5% from 2020 to 2026.
The AI in agriculture market growth is propelled by the increasing implementation of data generation through sensors and aerial images for crops, increasing crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. However, the high cost of gathering precise field data restrains the market growth. Developing countries, such as China, Brazil, and India, are likely to provide an opportunity for the players in the AI in agriculture market due to the increasing use of unmanned aerial vehicles/drones by these countries in their agricultural farms.
By technology, the machine learning segment is estimated to account for the largest share of the AI in the agriculture market during the forecast period.
Machine learning-enabled solutions are being significantly adopted by agricultural organizations and farmers worldwide to enhance farm productivity and to gain a competitive edge in business operations. In the coming years, the application of machine learning in various agricultural practices is expected to rise exponentially.
By offering, the AI-as-a-Service segment is projected to register the highest CAGR from 2020 to 2026.
Increasing demand for machine learning tool kits and applications that are available in AI-based services, along with benefits, such as advanced infrastructure at minimal cost, transparency in business operations, and better scalability, is leading to the growth of the AI-as-a-Service segment.
By application, the precision farming segment held the largest market size in 2019.
Precision farming involves the usage of innovative artificial intelligence (AI) technologies, such as machine learning, computer vision, and predictive analytics tools, for increasing agriculture productivity. It comprises a technology-driven analysis of data acquired from the fields for increasing crop productivity. Precision farming helps in managing variations in the field accurately, thus enabling the growth of more crops using fewer resources and at reduced production costs. Precision devices integrated with AI technologies help in collecting farm-related data, thereby helping the farmers make better decisions and increase the productivity of their lands
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Attractive Opportunities for the AI in the Agriculture Market4.2 AI in Agriculture Market, by Offering4.3 AI in Agriculture Market, by Technology4.4 AI in Agriculture Market for Apac, by Application & Country4.5 AI in Agriculture Market, by Geography
5 Market Overview 5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Increasing Strain on Global Food Supply Owing to Rising Population5.2.1.2 Increasing Implementation of Data Generation Through Sensors and Aerial Images for Crops5.2.1.3 Increasing Crop Productivity Through Deep Learning Technology5.2.1.4 Government Support to Adopt Modern Agricultural Techniques5.2.2 Restraints5.2.2.1 High Cost of Gathering Precise Field Data5.2.3 Opportunities5.2.3.1 Developing Countries to Offer Significant Growth Opportunities5.2.3.2 Use of AI Solutions to Manage Small Farms (Less than 5 Hectares)5.2.4 Challenges5.2.4.1 Lack of Standardization5.2.4.2 Lack of Awareness About AI Among Farmers5.2.4.3 Limited Availability of Historical Data5.3 Value Chain Analysis5.4 Impact of Covid-19 on AI in Agriculture Market
6 Artificial Intelligence in Agriculture Market, by Technology 6.1 Introduction6.2 Machine Learning6.2.1 Machine Learning Technology to Hold the Largest Share of AI in Agriculture Market6.3 Computer Vision6.3.1 Computer Vision Technology is Expected to Grow at the Highest CAGR during the Forecast Period6.4 Predictive Analytics6.4.1 Increasing Predictive Analytics Applications is Expected to Drive the Growth of AI in Agriculture Market
7 Artificial Intelligence in Agriculture Market, by Offering 7.1 Introduction7.2 Hardware7.2.1 Technological Advancements in the Hardware Segment is Leading to the Widespread Adoption of AI in Agriculture7.2.2 Processor7.2.3 Storage Device7.2.4 Network7.3 Software7.3.1 AI in Agriculture Market for Software Segment is Projected to Hold the Largest Market Share during the Forecast Period7.3.2 AI Platform7.3.3 AI Solution7.4 Ai-As-A-Service7.4.1 Ai-As-A-Service Segment is Expected to Grow at the Highest CAGR during the Forecast Period7.5 Services7.5.1 Increasing Requirement of Online and Offline Support Services is Leading to the Growth of This Segment7.5.2 Deployment & Integration7.5.3 Support & Maintenance
8 Artificial Intelligence in Agriculture Market, by Application 8.1 Introduction8.2 Precision Farming8.2.1 Precision Farming is Expected to Hold the Largest Market Share during the Forecast Period8.2.2 Yield Monitoring8.2.3 Field Mapping8.2.4 Crop Scouting8.2.5 Weather Tracking & Forecasting8.2.6 Irrigation Management8.3 Livestock Monitoring8.3.1 Increasing Livestock Monitoring Applications is Driving the Growth of This Segment8.4 Drone Analytics8.4.1 Drone Analytics Application Expected to Grow at the Highest CAGR during the Forecast Period8.5 Agriculture Robots8.5.1 Increased Deep Learning Capabilities of Agriculture Robots is Driving the Growth of This Segment8.6 Labor Management8.6.1 Major Benefits Such As Reduced Production Costs Due to Labor Management Application is Leading to the Growth of This Segment8.7 Others8.7.1 Smart Greenhouse Management8.7.2 Soil Management8.7.2.1 Moisture Monitoring8.7.2.2 Nutrient Monitoring8.7.3 Fish Farming Management
9 Geographic Analysis 9.1 Introduction9.2 Americas9.2.1 North America9.2.1.1 Us9.2.1.1.1 Us Projected to Account for the Largest Size of the AI in Agriculture Market in North America9.2.1.2 Canada9.2.1.2.1 Increasing AI Technology Adoption is Leading to the Growth of Canadian AI in Agriculture Market9.2.1.3 Mexico9.2.1.3.1 AI in Agriculture Market in Mexico is Projected to Grow at the Highest CAGR during the Forecast Period9.2.2 South America9.2.2.1 Brazil9.2.2.1.1 Brazil Expected to Hold the Largest Share in the South American AI in Agriculture Market9.2.2.2 Argentina9.2.2.2.1 Expanding Industrial Production in Argentina is Driving the Market9.2.2.3 Rest of South America9.3 Europe9.3.1 Uk9.3.1.1 Increasing Adoption of Ai-Based Solutions for Agriculture is Driving the Uk Market9.3.2 Germany9.3.2.1 Germany Held the Largest Share of European AI in Agriculture Market in 20199.3.3 France9.3.3.1 Increasing Number of Start-Ups Developing AI Solutions for Agriculture is Driving the Market in Europe9.3.4 Italy9.3.4.1 AI in Agriculture Market in Italy is Growing Steadily to Overcome Drastic Climate Conditions9.3.5 Spain9.3.5.1 Favorable Government Policies are Driving the AI in Agriculture Market in Spain9.3.6 Rest of Europe9.4 Asia Pacific9.4.1 Australia9.4.1.1 Australia Expected to Hold the Largest Share of the AI in Agriculture Market in Apac9.4.2 China9.4.2.1 Increasing Precision Farming Applications in China is Expected to Drive the AI in Agriculture Market for Apac9.4.3 Japan9.4.3.1 in 2019, Japan Held the Second-Largest Share of AI in Agriculture Market in Apac9.4.4 South Korea9.4.4.1 Government Funding and Initiatives are Driving the Growth of AI in Agriculture Market in South Korea9.4.5 India9.4.5.1 India is Expected to be the Fastest-Growing AI in Agriculture Market in Apac9.4.6 Rest of Apac9.5 Rest of the World9.5.1 Increasing Awareness Among Farmers Regarding the Benefits of AI-Assisted Agricultural Operations is Driving the Market in Row
10 Competitive Landscape 10.1 Overview10.2 Ranking Analysis10.3 Competitive Scenario10.3.1 Product Launches and Developments10.3.2 Partnerships, Agreements, and Collaborations10.3.3 Mergers and Acquisitions10.4 Competitive Leadership Mapping10.4.1 Visionary Leaders10.4.2 Dynamic Differentiators10.4.3 Innovators10.4.4 Emerging Companies
11 Company Profiles 11.1 Key Players11.1.1 IBM11.1.2 Deere & Company11.1.3 Microsoft11.1.4 the Climate Corporation11.1.5 Farmers Edge11.1.6 Granular11.1.7 Ageagle11.1.8 Descartes Labs11.1.9 Prospera11.1.10 Taranis11.1.11 Awhere11.2 Right-To-Win11.3 Other Key Companies11.3.1 Gamaya11.3.2 Ec2Ce11.3.3 Precision Hawk11.3.4 Vineview11.3.5 Cainthus11.3.6 Tule Technologies11.3.7 Resson11.3.8 Connecterra11.3.9 Vision Robotics11.3.10 Farmbot11.3.11 Harvest Croo11.3.12 Peat11.3.13 Autonomous Tractor Corporation11.3.14 Trace Genomics11.3.15 Cropx Technologies
For more information about this report visit https://www.researchandmarkets.com/r/sqhb4s
Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
Go here to see the original:
Global Artificial Intelligence in Agriculture Industry (2020 to 2026) - Developing Countries to Offer Significant Growth Opportunities - GlobeNewswire
Does An Invention Discovered With Artificial Intelligence Obtain Patent Protection? – JD Supra
Updated: May 25, 2018:
JD Supra is a legal publishing service that connects experts and their content with broader audiences of professionals, journalists and associations.
This Privacy Policy describes how JD Supra, LLC ("JD Supra" or "we," "us," or "our") collects, uses and shares personal data collected from visitors to our website (located at http://www.jdsupra.com) (our "Website") who view only publicly-available content as well as subscribers to our services (such as our email digests or author tools)(our "Services"). By using our Website and registering for one of our Services, you are agreeing to the terms of this Privacy Policy.
Please note that if you subscribe to one of our Services, you can make choices about how we collect, use and share your information through our Privacy Center under the "My Account" dashboard (available if you are logged into your JD Supra account).
Registration Information. When you register with JD Supra for our Website and Services, either as an author or as a subscriber, you will be asked to provide identifying information to create your JD Supra account ("Registration Data"), such as your:
Other Information: We also collect other information you may voluntarily provide. This may include content you provide for publication. We may also receive your communications with others through our Website and Services (such as contacting an author through our Website) or communications directly with us (such as through email, feedback or other forms or social media). If you are a subscribed user, we will also collect your user preferences, such as the types of articles you would like to read.
Information from third parties (such as, from your employer or LinkedIn): We may also receive information about you from third party sources. For example, your employer may provide your information to us, such as in connection with an article submitted by your employer for publication. If you choose to use LinkedIn to subscribe to our Website and Services, we also collect information related to your LinkedIn account and profile.
Your interactions with our Website and Services: As is true of most websites, we gather certain information automatically. This information includes IP addresses, browser type, Internet service provider (ISP), referring/exit pages, operating system, date/time stamp and clickstream data. We use this information to analyze trends, to administer the Website and our Services, to improve the content and performance of our Website and Services, and to track users' movements around the site. We may also link this automatically-collected data to personal information, for example, to inform authors about who has read their articles. Some of this data is collected through information sent by your web browser. We also use cookies and other tracking technologies to collect this information. To learn more about cookies and other tracking technologies that JD Supra may use on our Website and Services please see our "Cookies Guide" page.
We use the information and data we collect principally in order to provide our Website and Services. More specifically, we may use your personal information to:
JD Supra takes reasonable and appropriate precautions to insure that user information is protected from loss, misuse and unauthorized access, disclosure, alteration and destruction. We restrict access to user information to those individuals who reasonably need access to perform their job functions, such as our third party email service, customer service personnel and technical staff. You should keep in mind that no Internet transmission is ever 100% secure or error-free. Where you use log-in credentials (usernames, passwords) on our Website, please remember that it is your responsibility to safeguard them. If you believe that your log-in credentials have been compromised, please contact us at privacy@jdsupra.com.
Our Website and Services are not directed at children under the age of 16 and we do not knowingly collect personal information from children under the age of 16 through our Website and/or Services. If you have reason to believe that a child under the age of 16 has provided personal information to us, please contact us, and we will endeavor to delete that information from our databases.
Our Website and Services may contain links to other websites. The operators of such other websites may collect information about you, including through cookies or other technologies. If you are using our Website or Services and click a link to another site, you will leave our Website and this Policy will not apply to your use of and activity on those other sites. We encourage you to read the legal notices posted on those sites, including their privacy policies. We are not responsible for the data collection and use practices of such other sites. This Policy applies solely to the information collected in connection with your use of our Website and Services and does not apply to any practices conducted offline or in connection with any other websites.
JD Supra's principal place of business is in the United States. By subscribing to our website, you expressly consent to your information being processed in the United States.
You can make a request to exercise any of these rights by emailing us at privacy@jdsupra.com or by writing to us at:
You can also manage your profile and subscriptions through our Privacy Center under the "My Account" dashboard.
We will make all practical efforts to respect your wishes. There may be times, however, where we are not able to fulfill your request, for example, if applicable law prohibits our compliance. Please note that JD Supra does not use "automatic decision making" or "profiling" as those terms are defined in the GDPR.
Pursuant to Section 1798.83 of the California Civil Code, our customers who are California residents have the right to request certain information regarding our disclosure of personal information to third parties for their direct marketing purposes.
You can make a request for this information by emailing us at privacy@jdsupra.com or by writing to us at:
Some browsers have incorporated a Do Not Track (DNT) feature. These features, when turned on, send a signal that you prefer that the website you are visiting not collect and use data regarding your online searching and browsing activities. As there is not yet a common understanding on how to interpret the DNT signal, we currently do not respond to DNT signals on our site.
For non-EU/Swiss residents, if you would like to know what personal information we have about you, you can send an e-mail to privacy@jdsupra.com. We will be in contact with you (by mail or otherwise) to verify your identity and provide you the information you request. We will respond within 30 days to your request for access to your personal information. In some cases, we may not be able to remove your personal information, in which case we will let you know if we are unable to do so and why. If you would like to correct or update your personal information, you can manage your profile and subscriptions through our Privacy Center under the "My Account" dashboard. If you would like to delete your account or remove your information from our Website and Services, send an e-mail to privacy@jdsupra.com.
We reserve the right to change this Privacy Policy at any time. Please refer to the date at the top of this page to determine when this Policy was last revised. Any changes to our Privacy Policy will become effective upon posting of the revised policy on the Website. By continuing to use our Website and Services following such changes, you will be deemed to have agreed to such changes.
If you have any questions about this Privacy Policy, the practices of this site, your dealings with our Website or Services, or if you would like to change any of the information you have provided to us, please contact us at: privacy@jdsupra.com.
As with many websites, JD Supra's website (located at http://www.jdsupra.com) (our "Website") and our services (such as our email article digests)(our "Services") use a standard technology called a "cookie" and other similar technologies (such as, pixels and web beacons), which are small data files that are transferred to your computer when you use our Website and Services. These technologies automatically identify your browser whenever you interact with our Website and Services.
We use cookies and other tracking technologies to:
There are different types of cookies and other technologies used our Website, notably:
JD Supra Cookies. We place our own cookies on your computer to track certain information about you while you are using our Website and Services. For example, we place a session cookie on your computer each time you visit our Website. We use these cookies to allow you to log-in to your subscriber account. In addition, through these cookies we are able to collect information about how you use the Website, including what browser you may be using, your IP address, and the URL address you came from upon visiting our Website and the URL you next visit (even if those URLs are not on our Website). We also utilize email web beacons to monitor whether our emails are being delivered and read. We also use these tools to help deliver reader analytics to our authors to give them insight into their readership and help them to improve their content, so that it is most useful for our users.
Analytics/Performance Cookies. JD Supra also uses the following analytic tools to help us analyze the performance of our Website and Services as well as how visitors use our Website and Services:
Facebook, Twitter and other Social Network Cookies. Our content pages allow you to share content appearing on our Website and Services to your social media accounts through the "Like," "Tweet," or similar buttons displayed on such pages. To accomplish this Service, we embed code that such third party social networks provide and that we do not control. These buttons know that you are logged in to your social network account and therefore such social networks could also know that you are viewing the JD Supra Website.
If you would like to change how a browser uses cookies, including blocking or deleting cookies from the JD Supra Website and Services you can do so by changing the settings in your web browser. To control cookies, most browsers allow you to either accept or reject all cookies, only accept certain types of cookies, or prompt you every time a site wishes to save a cookie. It's also easy to delete cookies that are already saved on your device by a browser.
The processes for controlling and deleting cookies vary depending on which browser you use. To find out how to do so with a particular browser, you can use your browser's "Help" function or alternatively, you can visit http://www.aboutcookies.org which explains, step-by-step, how to control and delete cookies in most browsers.
We may update this cookie policy and our Privacy Policy from time-to-time, particularly as technology changes. You can always check this page for the latest version. We may also notify you of changes to our privacy policy by email.
If you have any questions about how we use cookies and other tracking technologies, please contact us at: privacy@jdsupra.com.
Link:
Does An Invention Discovered With Artificial Intelligence Obtain Patent Protection? - JD Supra