Category Archives: Artificial Intelligence
Iktos Announces a Collaboration With Ono in Artificial Intelligence for New Drug Design – WV News
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Iktos Announces a Collaboration With Ono in Artificial Intelligence for New Drug Design - WV News
Global Personal Artificial Intelligence and Robotics Markets, 2022-2027: Leading Solutions for Personalized AI and Robotics are Safety, Information,…
Dublin, March 28, 2022 (GLOBE NEWSWIRE) -- The "Personal Artificial Intelligence and Robotics Market by AI and Robot Type, Components, Devices and Solutions 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.
This report evaluates the market for personalized robots, bot software, and systems. The report also assesses the impact of AI and evaluates the market for AI-enhanced robots and robotic systems for the consumer market. It includes analysis and forecasts for personalized AI and robotics from 2022 through 2027.
There is an emerging service robot market that has very different dynamics than traditional industrial robotics. Service robots are very personal and include both physical robots as well as logical (e.g. software) bots that act on behalf of their owners, managers, and/or controllers. Service robots will ultimately evolve beyond purpose-built machines to become more general-purpose tools for supporting human safety and lifestyle needs.
While Asia is the predominant market today, we see the United States as a high growth market as the USA has grossly underinvested in the personal healthcare infrastructure market. Largely depending upon informal family support, personalized care represents an industry that is sustained by poorly paid workers - largely immigrants and women of color. This is poised to change with carebots, programmed to oversee the care for the elderly and/or those with healthcare issues that require constant attention.
We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebots services, managing daily schedules, and many more assistive tasks. Furthermore, we see a few key factors such as the aging population, personalization services trends, and robot mobility will drive growth in this industry segment.
In addition, developments in artificial intelligence and cognitive computing support the inclusion of these technologies with virtually every type of robot including general-purpose bots that act on behalf of their owner. The combination of AI and IoT (AIoT) will further support market development, leading to semi-autonomous markets that interact with humans directly as well as other machines, and assets through interconnected systems.
Select Report Findings:
Key Topics Covered:
1 Executive Summary
2 Introduction2.1 Overall AI and Robotics Market2.2 Personal AI and Robotics Market2.3 Development of Autonomous Agents and Care Bots2.4 AI Technology and Deep Learning Hacks2.5 Contextual Awareness and Intelligent Decision Support Systems2.6 Aging Population, Mass Digitization, and Human-Robotics Interaction Accelerates Growth2.7 Evolution of Personal Assistants and Smart Advisory Services2.8 Price Declines Drive Adoption for Low-Cost Robotics2.9 Open Software Platforms Accelerate Growth but Raises Ethical Concerns2.10 Technical Complexity and Lack of Skilled Robot Designer May Hinder Growth
3 Cloud Robotics to Drive Democratization and Expanded Usage3.1 Enabling Technologies3.1.1 Fifth Generation Cellular3.1.2 Teleoperation3.1.3 Cloud Computing3.1.4 Edge Computing3.2 Market Opportunities
4 Personal AI and Robotics Market, Application, and Ecosystem Impact4.1 Market Segmentation and Application Scenario4.1.1 Personal Robots and Robotics Components4.1.2 Digital Personal Assistant Services4.1.3 AI-Based System and Analytics4.2 Economic Impact including Job Market4.3 Investment Trends in Robotics and AI Systems4.4 Robotics Patents a Key Area to Watch
5 Personal AI and Robotics Market Drivers and Challenges5.1 Personal AI and Robotics Market Dynamics5.2 Personal AI and Robotics Market Drivers5.3 Personal AI and Robotics Market Challenges
6 Personal AI and Robot Market Outlook and Forecasts 2022 - 20276.1 Aggregate Global Market Forecast 2022 - 20276.2 Personal Robot Market Forecast 2022 - 20276.3 Digital Personal Assistant Market Forecast 2022 - 20276.4 Personal AI-Based Solution Market Forecast 2022 - 2027
7 AI and Robotics Company Analysis7.1 Assessment of Select Market Leaders7.2 Honda Motor Co. Ltd.7.3 Samsung Electronics Co Ltd.7.4 iRobot Corporation7.5 Sony Corporation7.6 F&P Robotics AG7.7 ZMP INC.7.8 Segway Inc.7.9 Neato Robotics, Inc.7.10 Ecovacs Robotics, Inc.7.11 Hasbro, Inc.7.12 Parrot SA7.13 Geckosystems Intl. Corp.7.14 Hoaloha Robotics7.15 Lego Education7.16 Sharp Corporation7.17 Toyota Motor Corporation7.18 WowWee Group Limited7.19 Lely Group7.20 Intel Corporation7.21 AsusTek Computer Inc.7.22 Amazon.com, Inc7.23 RealDoll7.24 True Companion7.25 Robotbase7.26 Dongbu Group7.27 Softbank Robotics7.28 Buddy7.29 Jibo7.30 NTT DoCoMo7.31 Rokid7.32 MJI Robotics7.33 Cubic7.34 5 Elements Robotics7.35 Branto7.36 Aido7.37 Vinclu Gatebox7.38 Future Robot7.39 Apple Inc.7.40 Artificial Solutions7.41 Clara Labs7.42 Google7.43 Microsoft Corporation7.44 Speaktoit Inc.7.45 Facebook7.46 SK Telecom Co, Ltd.7.47 motion.ai7.48 Indigo7.49 24me7.50 Wunderlist7.51 Hound7.52 Mycroft7.53 Ubi7.54 EasilyDo7.55 Evi7.56 Operator7.57 Charlie7.58 Alfred7.59 x.ai7.60 AIVC7.61 EVA7.62 NVidia7.63 Tesla Motors7.64 Baidu7.65 SparkCognition
8 Personal AI and Robot Use Cases8.1 Cleaning Robots8.2 Entertainment Robots8.3 Home Security and Surveillance8.4 Wheel-powered Robot8.5 PARO, Advanced interactive Robot8.6 Vortex, a Programmable Robot8.7 ROBEAR, Nursing Care Robot8.8 AV1, A Small Telepresence Robot
9 Conclusions and Recommendations9.1 Recommendations to Robotics Makers9.2 Recommendations to Investors9.3 Recommendations for AI Companies9.4 Recommendations for Equipment Manufacturers9.5 Future of Personal AI
For more information about this report visit https://www.researchandmarkets.com/r/vplny7
Artificial intelligence will add $10tn to global economy in next decade – IBM CEO – Gulf Business
Artificial intelligence (AI) will add up to $10tn to the global economy in the next decade, Arvind Krishna, chairman and CEO of IBM has said.
Greater adoption of AI in the UAE could also add up to $200bn in productivity gains by 2030, Krishna told Omar bin Sultan Al Olama, Minister of State for Artificial Intelligence, Digital Economy, and Teleworking Applications, at the World Government Summit 2022, official news agency WAM reported.
The leader of the US tech giant tipped AI to transform the world economy after warning that the planet lacks skilled people to keep up with the pandemic-induced disruption caused to workplaces everywhere.
I fundamentally believe that AI offers over $10tn of productivity to the world. If you think about GDP increase, this could be anywhere between 10, 20, or 30 per cent. But we have to do this carefully, we have to harness the skills and deploy it in the right manner, Krishna said, speaking during a one-on-one panel The Next Big Merger: Governments and Technology.
Omar bin Sultan said that the UAEs talent pool will be boosted by Indias decision to set up the first Indian Institute of Technology (IIT) in Abu Dhabi.
Last year, the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a graduate-level research university focusing on artificial intelligence (AI), launched an executive programme, designed to assist the UAEs government and business elite in unlocking the potential of AI to ensure smart management, increased efficiencies, and enhanced productivity.
Read:Abu Dhabis AI university launches executive programme for UAE govt and business leaders
Located in Masdar City, MBZUAI offers Master of Science, Msc, and PhD level programmes in key areas of AI such as machine learning, computer vision, and natural language processing.
Read:Video: Abu Dhabi launches worlds first AI university
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Artificial intelligence will add $10tn to global economy in next decade - IBM CEO - Gulf Business
Artificial Intelligence in the Education Sector Market Size 2022 : Share and Trend, Growth Strategies with Revenue, future Scope, Analytical Overview…
Artificial Intelligence in the Education Sector Market Research Report audits the development drivers and the momentum and future trends. The Artificial Intelligence in the Education Sector Market Size consists of various players. The organization profiling of the above Artificial Intelligence in the Education Sector Market players has been done in the report comprising of their business outline, financial overview and the business techniques took on by the organizations with Forecast Period 2022-2028.
Global Artificial Intelligence in the Education Sector Market Research Report 2022-2028 by Players, Regions, Product Types and Applications
The Global Artificial Intelligence in the Education Sector Market covers express data with respect to the development rate, market estimates, drivers, limitations, future based demand, and income during the forecast period. The Global Artificial Intelligence in the Education Sector Market Size consists of data accumulated from numerous primary and secondary sources. This data has been checked and approved by the business examiners, thus providing significant insights to the researchers, analysts, managers, and other industry professionals. This archive further aides in understanding business sector patterns, applications, determinations, and market challenges.
The world has entered the COVID-19 Global Regaining period. In this complex economic environment, we distributed the Global Artificial Intelligence in the Education Sector Market Growth, Status, Trends and COVID-19 Impact Report, which gives a short examination of the global Artificial Intelligence in the Education Sector market.
Final Report will add the analysis of the impact of COVID-19 on this industry.
To Understand How Covid-19 Impact Is Covered in This Report Request a Sample Copy Of The Report
Who are some of the key players operating in the Artificial Intelligence in the Education Sector market and how high is the competition 2022?
Company Information: List by Country Top Manufacturers/ Key Players In Artificial Intelligence in the Education Sector Market Insights Report Are:
The ability of the computer program to imitate the human intelligence needed for the task is termed as artificial intelligence (AI). Integration of the artificial intelligence in education sector creates revolution through its result driven approach.According to our latest research, the global Artificial Intelligence in the Education Sector market size will reach USD million in 2028, growing at a CAGR of % over the analysis period.Global Artificial Intelligence in the Education Sector Scope and Market SizeThis report focuses on the global Artificial Intelligence in the Education Sector status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in the Education Sector development in North America, Europe, China, Japan, Southeast Asia, India and Central and South America, etc.
Sample PDF of the report at https://www.marketgrowthreports.com/enquiry/request-sample/20190218
Global Artificial Intelligence in the Education Sector Market 2022 Research Report is spread across105 pagesand provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.
Type Coverage (Market Size and Forecast, Major Company of Product Type etc.)
Application Coverage (Market Size and Forecast, Different Demand Market by Region, Main Consumer Profile):
The report covers the key players of the business including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin Sales with an exhaustive investigation of the markets competitive landscape and definite data on vendors and thorough subtleties of elements that will challenge the development of significant market vendors.
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Some of the key questions answered in this report:
Geographical Segmentation and Competition Analysis
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With tables and figureshelping analyze worldwide Global Artificial Intelligence in the Education Sector Market Forecast provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market
Major Highlights of TOC:
Major Points from Table of Contents:
Global Artificial Intelligence in the Education Sector Market Research Report 2022-2028, by Manufacturers, Regions, Types and Applications
1 Study Coverage
1.1 Artificial Intelligence in the Education Sector Product Introduction
1.2 Market by Type
1.2.1 Global Artificial Intelligence in the Education Sector Market Size Growth Rate by Type
1.3 Market by Application
1.3.1 Global Artificial Intelligence in the Education Sector Market Size Growth Rate by Application
1.4 Study Objectives
1.5 Years Considered
2 Global Artificial Intelligence in the Education Sector Production
2.1 Global Artificial Intelligence in the Education Sector Production Capacity (2016-2028)
2.2 Global Artificial Intelligence in the Education Sector Production by Region: 2016 VS 2022 VS 2028
2.3 Global Artificial Intelligence in the Education Sector Production by Region
2.3.1 Global Artificial Intelligence in the Education Sector Historic Production by Region (2016-2022)
2.3.2 Global Artificial Intelligence in the Education Sector Forecasted Production by Region (2022-2028)
3 Global Artificial Intelligence in the Education Sector Sales in Volume and Value Estimates and Forecasts
3.1 Global Artificial Intelligence in the Education Sector Sales Estimates and Forecasts 2016-2028
3.2 Global Artificial Intelligence in the Education Sector Revenue Estimates and Forecasts 2016-2028
3.3 Global Artificial Intelligence in the Education Sector Revenue by Region: 2016 VS 2022 VS 2028
3.4 Global Top Artificial Intelligence in the Education Sector Regions by Sales
3.4.1 Global Top Artificial Intelligence in the Education Sector Regions by Sales (2016-2022)
3.4.2 Global Top Artificial Intelligence in the Education Sector Regions by Sales (2022-2028)
3.5 Global Top Artificial Intelligence in the Education Sector Regions by Revenue
3.5.1 Global Top Artificial Intelligence in the Education Sector Regions by Revenue (2016-2022)
3.5.2 Global Top Artificial Intelligence in the Education Sector Regions by Revenue (2022-2028)
3.6 North America
3.7 Europe
3.8 Asia-Pacific
3.9 Latin America
3.10 Middle East and Africa
4 Competition by Manufactures
4.1 Global Artificial Intelligence in the Education Sector Supply by Manufacturers
4.1.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Production Capacity (2022 VS 2022)
4.1.2 Global Top Artificial Intelligence in the Education Sector Manufacturers by Production (2016-2022)
4.2 Global Artificial Intelligence in the Education Sector Sales by Manufacturers
4.2.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Sales (2016-2022)
4.2.2 Global Top Artificial Intelligence in the Education Sector Manufacturers Market Share by Sales (2016-2022)
4.2.3 Global Top 10 and Top 5 Companies by Artificial Intelligence in the Education Sector Sales in 2022
4.3 Global Artificial Intelligence in the Education Sector Revenue by Manufacturers
4.3.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Revenue (2016-2022)
4.3.2 Global Top Artificial Intelligence in the Education Sector Manufacturers Market Share by Revenue (2016-2022)
4.3.3 Global Top 10 and Top 5 Companies by Artificial Intelligence in the Education Sector Revenue in 2022
4.4 Global Artificial Intelligence in the Education Sector Sales Price by Manufacturers
4.5 Analysis of Competitive Landscape
4.5.1 Manufacturers Market Concentration Ratio (CR5 and HHI)
4.5.2 Global Artificial Intelligence in the Education Sector Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.5.3 Global Artificial Intelligence in the Education Sector Manufacturers Geographical Distribution
4.6 Mergers and Acquisitions, Expansion Plans
5 Market Size by Type
5.1 Global Artificial Intelligence in the Education Sector Sales by Type
5.1.1 Global Artificial Intelligence in the Education Sector Historical Sales by Type (2016-2022)
5.1.2 Global Artificial Intelligence in the Education Sector Forecasted Sales by Type (2022-2028)
5.1.3 Global Artificial Intelligence in the Education Sector Sales Market Share by Type (2016-2028)
5.2 Global Artificial Intelligence in the Education Sector Revenue by Type
5.2.1 Global Artificial Intelligence in the Education Sector Historical Revenue by Type (2016-2022)
5.2.2 Global Artificial Intelligence in the Education Sector Forecasted Revenue by Type (2022-2028)
5.2.3 Global Artificial Intelligence in the Education Sector Revenue Market Share by Type (2016-2028)
5.3 Global Artificial Intelligence in the Education Sector Price by Type
5.3.1 Global Artificial Intelligence in the Education Sector Price by Type (2016-2022)
5.3.2 Global Artificial Intelligence in the Education Sector Price Forecast by Type (2022-2028)
6 Market Size by Application
6.1 Global Artificial Intelligence in the Education Sector Sales by Application
6.1.1 Global Artificial Intelligence in the Education Sector Historical Sales by Application (2016-2022)
6.1.2 Global Artificial Intelligence in the Education Sector Forecasted Sales by Application (2022-2028)
6.1.3 Global Artificial Intelligence in the Education Sector Sales Market Share by Application (2016-2028)
6.2 Global Artificial Intelligence in the Education Sector Revenue by Application
6.2.1 Global Artificial Intelligence in the Education Sector Historical Revenue by Application (2016-2022)
6.2.2 Global Artificial Intelligence in the Education Sector Forecasted Revenue by Application (2022-2028)
6.2.3 Global Artificial Intelligence in the Education Sector Revenue Market Share by Application (2016-2028)
6.3 Global Artificial Intelligence in the Education Sector Price by Application
6.3.1 Global Artificial Intelligence in the Education Sector Price by Application (2016-2022)
6.3.2 Global Artificial Intelligence in the Education Sector Price Forecast by Application (2022-2028)
7 Artificial Intelligence in the Education Sector Consumption by Regions
7.1 Global Artificial Intelligence in the Education Sector Consumption by Regions
7.1.1 Global Artificial Intelligence in the Education Sector Consumption by Regions
7.1.2 Global Artificial Intelligence in the Education Sector Consumption Market Share by Regions
7.2 North America
7.2.1 North America Artificial Intelligence in the Education Sector Consumption by Application
7.2.2 North America Artificial Intelligence in the Education Sector Consumption by Countries
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Artificial Intelligence in the Education Sector Market Size 2022 : Share and Trend, Growth Strategies with Revenue, future Scope, Analytical Overview...
Zoomd Announces the Acquisition of Artificial Intelligence Marketing Platform "Albert" – PR Newswire
VANCOUVER, BC, March 28, 2022 /PRNewswire/ -- Zoomd Technologies Ltd.(TSXV: ZOMD) (OTC: ZMDTF) and its wholly-owned subsidiary Zoomd Ltd. (collectively, "Zoomd" or the "Company"), the marketing tech (MarTech) user-acquisition and engagement platform, today announced its acquisition (the "Transaction") of Albert Technologies Ltd. ("Albert") on March 27, 2022. Albert is a U.S.-based artificial intelligence marketing platform for advertisers, driving fully autonomous digital campaigns for some of the world's leading brands. The consideration for the Transaction payable by Zoomd is a combination of cash and shares paid on March 27, 2022, being the closing date, and a future share-based earn-out payment, based on meeting certain criteria.
Albert processes and analyzes audience and tactical data at scale, thereby autonomously allocating budgets and optimizing creative and evolving campaigns across paid search and social media. Albert's value proposition to its clients is to ease the complexities of scaling, primarily using the Google and Facebook platforms, by executing campaigns at a pace and scale that were generally not previously possible. By autonomously combing through mass amounts of data, converting this data into insights, and autonomously acting on these insights, across channels, devices, and formats, Albert eliminates the manual and time-consuming tasks that generally limit the effectiveness and results of modern digital advertising and marketing.
"While we are also releasing some of our products onto a Self-Service and SaaS business model, Albert enhances our efforts immediately, with additional solid offerings that cover branding and awareness needs. Furthermore, we view Albert as complementary for mobile apps, particularly with regards to our future plans relating to Web3." said Ofer Eitan, Zoomd CEO, adding "we view M&A activity, which includes industry professionals, supplementary technology and solid customer base, as a part of Zoomd's growth objective. This acquisition shows our ambition to provide our partners a SaaS platform for scaling with minor efforts. Albert's team is a group of extremely talented veterans that fit Zoomd's culture. They have a number of Fortune 500 customers that will now be able to use our products and services. We are happy and excited to have the team come on board."
Or Shani, Founder and CEO of Albert commented: "We are excited to join Zoomd, a fast growing company in the marketing technology space. We believe that our business, based on our unique, patented and proven technology, will further accelerate given the great scale and financial strength of Zoomd."
For the purposes of the Transaction, the share component of the consideration will be valued at the higher of (i) the closing price of the shares on the date prior to their issuance and (ii) US$1.00 per share. Zoomd did not assume any of Albert's debt and no finder's fees were paid or are payable in connection with the Transaction. All shares to be issued pursuant to the Transaction are subject to the prior approval of the TSX-V.
About Zoomd:
Zoomd (TSXV: ZOMD, OTC: ZMDTF), founded in 2012 and began trading on the TSX Venture Exchange inSeptember 2019, offers a site search engine to publishers, and a mobile app user-acquisition platform, integrated with a majorityof global digital media, to advertisers. The platform unifies more than 600 media sources into one unified dashboard. Offering advertisers, a user acquisition control center for managing all new customer acquisition campaigns using a single platform. By unifying all these media sources onto a single platform, Zoomd saves advertisers significant resources that would otherwise be spent consolidating data sources, thereby maximizing data collection and data insights while minimizing the resources spent on the exercise. Further, Zoomd is a performance-based platform that allows advertisers to advertise to the relevant target audiences using a key performance indicator-algorithm that is focused on achieving the advertisers' goals and targets.
Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the Exchange) accepts responsibility for the adequacy or accuracy of this release.
DISCLAIMER IN REGARD TO FORWARD-LOOKING STATEMENTS
This news release includes certain "forward-looking statements" under applicable Canadian securities legislation. Forward-looking statements include, but are not limited to, statements with respect the successful closing of the Transaction and the future success of Albert, Zoomd's future ability to successfully continue its growth, its ability to continue to deliver products and services largely unimpacted by the privacy updates undertaken (or will be undertaken in the future) by Google and Apple as well as its ability to continue expanding into new geographies and industries. Forward-looking statements are based on our current assumptions, estimates, expectations and projections that, while considered reasonable, are subject to known and unknown risks, uncertainties, and other factors that may cause the actual results and future events to differ materially from those expressed or implied by such forward-looking statements. Such factors include, but are not limited to: general business, economic, competitive, technological, legal, privacy matters, political and social uncertainties (including the impacts of the COVID-19 pandemic and the current war in Ukraine), the extent and duration of which are uncertain at this time on Zoomd's business and general economic and business conditions and markets. There can be no assurance that any of the forward-looking statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking statements. The Company disclaims any intention or obligation to update or revise any forward-looking statements, whether because of new information, future events or otherwise, except as required by law.
The reader should not place undue importance on forward-looking information and should not rely upon this information as of any other date. All forward-looking information contained in this press release is expressly qualified in its entirety by this cautionary statement.
FOR FURTHER INFORMATION PLEASE CONTACT:
Company Media Contacts:Amit BohenskyChairmanZoomd[emailprotected]
Website: http://www.zoomd.com
Investor relations:Lytham Partners, LLCBen ShamsianNew York | Phoenix[emailprotected]
SOURCE Zoomd Technologies Ltd.
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Zoomd Announces the Acquisition of Artificial Intelligence Marketing Platform "Albert" - PR Newswire
West Ham United Announces Fetch.ai as their Official Artificial Intelligence Partner – NewsBTC
Fetch.ai is West Ham Uniteds exclusive official artificial intelligence partner and the premier leagues giant non-exclusive Official Global Partner. Under the deal, Fetch.ai has also been designated as West Ham United Womens football clubs non-exclusive official partner. Through this partnership, Fetch.ai and West Ham United will leverage and promote the impact of artificial intelligence in enhancing businesses and daily lives.
Subsequently, West Ham United will promote the Fetch.ai brand and its products in their mega London Stadium on their LED perimeter advertising boards and displays, marketing Fetch.ais smart parking concept, upcoming social media platform, and future smart solutions.
West Ham Uniteds London Stadium at the Queen Elizabeth Olympic Park has a capacity of 67,000 fans. It is larger than Tottenham Hotspurs 1 billion stadium. In London, the West Ham Uniteds mega stadium is only second after Wembley and Twickenham stadiums.
Nathan Thompson, the Commercial Director of West Ham United, said he was delighted with the partnership.
We are delighted to announce our first Official Artificial Intelligence Partner and welcome Fetch.ai to the Club at an exciting time for the business, and the industry. Were looking forward to working with Fetch.ai on their smart parking concept, social media platform, and upcoming projects that will provide smart solutions for fans.
The developers of Fetch.ai are firm believers that smart contracts can, as their name implies, be smart. Fetch.ai integrates artificial intelligence and machine learning for the building and deployment of smart code to deliver enhanced service delivery for users, businesses, and organizations.
Through their secure and decentralized blockchain, Fetch.ai can securely launch their Autonomous Economic Agents (AEA)representing connected devices, users, or organizationsand act on their behalf on the Fetch.ai network. These agents depend on artificial intelligence and are created as digital citizens.
They are tasked with securely and instantaneously connecting to vast data sources and hardware environments, effectively eliminating the need for aggregators. Therefore, by using artificial intelligence solutions in creative ways, the founder of Fetch.ai, Humayun Sheikh, believes it will power the future of world-class Premier League football for fans in the U.K. and worldwide.
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West Ham United Announces Fetch.ai as their Official Artificial Intelligence Partner - NewsBTC
Artificial Intelligence and the Future of War – The National Interest
Consider an alternative history for the war in Ukraine. Intrepid Ukrainian Army units mount an effort to pick off Russian supply convoys. But rather than rely on sporadic air cover, the Russian convoys travel under a blanket of cheap drones. The armed drones carry relatively simple artificial intelligence (AI) that can identify human forms and target them with missiles. The tactic claims many innocent civilians, as the drones kill nearly anyone close enough to the convoys to threaten them with anti-tank weapons. While the Ukrainians attempt to respond to the setback with their own drones, they are overwhelmed by the more numerous Russian drones.
It is increasingly plausible that this scenario could be seen in the next major war. In fact, the future of AI in war is already here, even if its not yet being employed in Ukraine. The United States, China, Russia, Britain, Israel, and Turkey are all aggressively designing AI-enabled weapons that can shoot to kill with no humans in the decision-making loop. These include fleets of ghost ships, land-based tanks and vehicles, AI-enabled guided missiles, and, most prominently, aircraft. Russia is even developing autonomous nuclear weapons; the 2018 U.S. Nuclear Posture Review stated that Russia is developing a new intercontinental, nuclear-armed, nuclear-powered, undersea autonomous torpedo. Lethal autonomous weapons (LAWs) have already been used in offensive operations to attack human combatants. In March 2021, a Turkish Kargu-2 drone was used in Libya to mount autonomous attacks on human targets. According to a UN Security Council report, the Kargu-2 hunted down retreating logistics and military convoys, attack[ing] targets without requiring data connectivity between the operator and the munition.
In reality, autonomous weapons that kill without an active human decision are now hundreds of years old. Land and naval mines have been used since at least the 1700s. Missile defense systems such as the Patriot and Phalanx can operate autonomously to attack enemy aircraft or surface vessels. Furthermore, sentry guns that automatically fire at targets in combat patrol zones have been deployed on armored vehicles.
That said, these systems have largely been defensive in nature. The Rubicon the world is now crossing would allow offensive weaponsequipped with enhanced intelligence for more complex decisionsto play a major role in conflicts. This would create a battlefield on which robots and autonomous systems are more numerous than human soldiers.
Why Governments Love Killer Robots
The attraction of killer robots and autonomous systems is clear. Using them to do the dirty work means that valuable soldiers do not have to die and expensive pilots do not have to fly costly equipment. Robots dont go to the bathroom, need water, or miss a shot when they sneeze or shake. While Robots make mistakes, so do humans. Protagonists of offensive AI assume that robot mistakes will be more predictable, with little regard to the increasing unpredictability of the behavior that arises from the emergent properties of complex systems. Finally, robots can be trained instantly, and replacing them is much faster and cheaper than replacing human combatants.
Most importantly, the political cost of using robots and LAWs is far lower. There would be no footage of captured soldiers or singed corpses, of pilots on their knees in a snowy field begging for mercy. This is why warfare will likely continue to become more remote and faceless. AI on weapons just takes the next logical step along this path. It enables robot weapons to operate at a wider scale and react without needing human inputs. This makes the military rationale crystal clear: not having AI capabilities will put an army at a great disadvantage. Just as software is eating the world of business, it is also eating the military world. AI is the sharp end of the software spear, leveling the playing field and allowing battlefield systems to evolve at the same speed as popular consumer products. The choice not to use AI on the battlefield will become akin to a bad business decision, even if there are tangible moral repercussions.
The Benefits and Risks of Fewer Humans in the Loop
As we explained in our book, Driver in the Driverless Car, supporters of autonomous lethal force argue that AI-controlled robots and drones might prove to be far more moral than their human counterparts. They claim that a robot programmed not to shoot women or children would not make mistakes in the pressure of battle. Furthermore, they argue, programmatic logic has an admirable ability to reduce the core moral issue down to binary decisions. For example, an AI system with enhanced vision might instantly decide not to shoot a vehicle painted with a red cross as it hurtles toward a checkpoint.
These lines of thought are essentially counterfactuals. Are humans more moral if they can program robots to avoid the weaknesses of the human psyche that can cause experienced soldiers to lose their sense of reason and morality in the heat of battle? When it is hard to discern if an adversary follows any moral compass, such as in the case of ISIS, is it better to rely on the cold logic of the robot warrior rather than on an emotional human being? What if a non-state terrorist organization develops lethal robots that afford them a battlefield advantage? Is that a risk that the world should be willing to take in developing them?
There are clear, unacceptable risks with this type of combat, particularly in cases when robots operate largely autonomously in an environment with both soldiers and civilians. Consider the example of Russian drones flying air cover and taking out anything that moves on the ground. The collateral damage and the deaths of innocent non-combatants would be horrific. In several instances, including a famous 1979 incident in which a human inadvertently set off alarms warning of a Russian nuclear strike, automated systems have given incorrect information that human operators debunked just in time to avert a nuclear exchange. With AI, decisions are made far too quickly for humans to correct them. As a result, catastrophic mistakes are inevitable.
We also shouldnt expect that LAWs will remain exclusive to nation-states. Because their manufacturing costs follow Moores Law, they will quickly enter the arsenals of sophisticated non-state actors. Affordable drones can be fitted with off-the-shelf weapons, and their sensors can be tethered to home-grown remote AI systems to identify and target human-like forms.
We currently sit at a crossroads. The horrific brutality of Russias invasion of Ukraine has demonstrated yet again that even great powers may cast aside morality for national narratives that are convenient to autocrats and compromised political classes. The next great war will likely be won or lost in part due to the smart use of AI systems. What can be done about this looming threat?
While a full ban on AI-based technologies would have been ideal, it is now impossible and counterproductive. For example, a ban would handcuff NATO, the United States, and Japan in future combat and make their soldiers vulnerable. A ban on applying AI systems to weapons of mass destruction is more realistic. Some may say this is a distinction without a difference, but the world has successfully limited weapons that can have global impacts. However, we have crossed the Rubicon and have few choices in a world where madmen like Putin attack innocent civilians with thermobaric rockets and threaten nuclear escalation.
Vivek Wadhwa and Alex Salkever are the authors of The Driver in the Driverless Car and From Incremental to Exponential: How Large Companies Can See the Future and Rethink Innovation. Their work explains how advancing technologies can be used for both good and evil, to solve the grand challenges of humanity or to destroy it.
Image: Reuters.
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Artificial Intelligence and the Future of War - The National Interest
Artificial intelligence makes automated document processing a reality – FreightWaves
Late last year, ABBYY teamed up with FreightWaves to survey logistics providers about document handling and processing habits. While results showed that most companies across the supply chain are making efforts toward document digitization and process automation, it was also clear that many companies continue to run into document verification hurdles on a regular basis.
The push toward digitization is not surprising. While the logistics industry was once seen as a technological holdout, it has undergone a veritable tech revolution over the past several years. This trend will only continue to accelerate as partners within the space demand greater connectivity and consumer visibility expectations grow.
As shippers move to digitize their documents and automate their processes, they should focus on making sure both efficiency and accuracy benchmarks are met. One document processing error can sideline an entire shipment, undermining profitability and customer satisfaction.
It is important for shippers to be competitive, and the world is digitizing really quickly. It is no surprise that about half of the supply chain leaders say information verification within their processes has become a big deal, Bruce Orcutt, senior vice president of product marketing and management, at ABBYY said. You have to get the documents right, and you have to get the information within those documents correct.
The shipping industry runs on documents. While automation runs on data, the day-to-day conducting of the business the shipping and receiving of goods takes place in documents. Historically, efforts to bring the worlds of automation and documentation together have been clumsy at best.
Lately, however, organizations have focused more investment on making the integration between those two worlds more seamless so shippers can achieve higher reliability and better verification.
Even with organizations that have managed to automate a lot of their document processes, they still run into verification challenges, Orcutt said. The information on shipping documents is often complex and highly variable. Traditionally, we have to rely on experienced workers who understand those details to make a judgment call on what they mean. Judgements about complex information must be made in context.
The complicated nature of these documents has made it difficult to circumvent the human-heavy approach to document processing. This compromises speed and efficiency, especially during a national labor shortage.
Some companies including ABBYY have turned to artificial intelligence and low-code/no-code platforms in order to bridge the gap between document processing and automation.
AI adds a layer of decision-making on top of the simple data extraction, Orcutt said. Verifying the information and making sure it is correct is vitally important, but at the same time, information can be read in multiple ways and must be understood within context. Documents contain more than just data points.
In order for AI to be successful in the document processing space, the software must be able to continuously learn just like an experienced operator who is an expert at assessing these documents and making swift judgment calls. ABBYY is arming AI software with pre-trained document skills in order to make intelligent document processing a reality.
Click here to learn more about ABBYY.
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Artificial intelligence makes automated document processing a reality - FreightWaves
Artificial Intelligence in Internet content The Stute – The Stute
Recent developments in artificial intelligence (AI) and computer vision have resulted in the ability to create fake people. These people are either generated entirely from scratch by an AI or are made by digitally altering the appearance of actors that appear similar to them.
A movement called RepresentUS recently tried to publish deep fake advertisements on several news outlets such as CNN and Fox News. The advertisements depicted Russian President Vladimir Putin and North Korean leader Kim Jong-un, both stating that Americans need to act in order to protect their democracy. The news station did not let these advertisements run and took them down shortly before being posted.
While it was intended to be for a good cause, the possibility of this technology being used for nefarious purposes remains. At the end of the advertisements, these leaders stated that the video wasnt real, but theres no reason that this statement would be included if someone wanted to tarnish another persons reputation. Without this information, it becomes difficult to identify what videos are real and which are not.
Artificially generated influencers are also gaining popularity on social media such as Instagram. The AI generated influencer Rozy is an example of an Instagram influencer developed by a company that is able to represent various companies. Unlike a real person, an influencer generated by an AI has no chance of being involved in a scandal that would negatively impact a companys reputation, as well as never aging, meaning they could represent a company for decades to come. These Instagram accounts are less like people, and more like characters such as Mickey Mouse, with the only difference being the level of detail and photorealism that these accounts possess.
All of this points towards the need for transparency from users of this kind of artificial intelligence. Digital influencers usually indicate that they are artificially generated in their bio or elsewhere, but similarly to deep fakes, there are no laws or regulations regarding their use. We are still in the early stages of this technology, but we are quickly approaching the point where it will become widely accessible and easy to use.
As AI generation of this content improves, similar techniques for detecting the work of an AI are also being developed. However, it is unclear whether these detective AIs will be able to keep up with the rate at which their counterparts are being developed.
Further legislation will be needed in order to regulate these technologies. In the same way that a carton of orange juice has nutritional information on the back, perhaps Instagram accounts will have a required artificially generated tag. The societal repercussions of this kind of technology are unclear, but theres no doubt that it will have a huge impact on our lives.
For now, theres not much that we can do in order to control the path that artificial intelligence development can take. Instead, we should focus on trying to identify sources of misinformation and prevent its spread. Sources such as Votesmart and Fact Check are great ways to stay informed and confirm (or deny) certain political facts. Besides this, we can lobby our politicians and push for more regulation and research in the hopes of a brighter and more transparent future.
Senioritis is an Opinion column written by one or two Stevens student(s) in their last year of study to discuss life experiences during their final year at Stevens, and other related subject matter.
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Artificial Intelligence in Internet content The Stute - The Stute
Artificial Intelligence in Supply Chain Market in China to grow at a CAGR of 40.54% by 2026| Evolving Opportunities with Accenture Plc & Alphabet…
NEW YORK, March 11, 2022 /PRNewswire/ --The "Artificial Intelligence in Supply Chain Marketin China - Competitive Analysis, Drivers, Trends, Challenges, Five Force Analysis" report has been added to Technavio's offering.Artificial intelligence in supply chain market in China is estimated to grow by USD 5.92 billion from 2021 to 2026, growing at a CAGR of 40.54% as per the latest market report by Technavio.The artificial intelligence marketshare growth in the supply chainin China by the automotivesegment will be significant for revenue generation. The automotive supply chain is a supply chain management that is particularly engaged in the automotive sector. This is closely associated to complete cycle chain management starting from the supply of raw materials from suppliers to the distribution of vehicles to consumers.As the middle-class population grows and increases in disposable income, the sales of the automotive industry are expected to increase as one of the aspirations of the middle-class population is owning a car. Thus, automotive production in China is estimated to increase during the forecast period.
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Market Dynamics
The market is driven by factors such as the rise in investments and R&Din AI startups, the adoption of AI for enhancing consumer services and satisfaction, and the demand for greater visibility and transparency into supply chain data and processes. However, the shortage of AI technology experts is hindering market growth.
Company Profiles
The artificial intelligence market in supply chain in China is fragmented and the vendors are deploying growth strategies such as price, quality, brand identity, technology, and distributionto compete in the market.Some of the companies covered in this report are Accenture Plc, Alphabet Inc., Dynamo management Co. LLC, General Electric Co., International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Salesforce.com Inc., and Siemens AG etc.
Few companies with key offerings
Competitive Analysis
The competitive scenario provided in the artificial intelligence in supply chain market in China report analyzes, evaluates, and positions companies based on various performance indicators. Some of the factors considered for this analysis include the financial performance of companies over the past few years, growth strategies, product innovations, new product launches, investments, growth in market share, etc.
Market Segmentation Analysis
Related Reports
Artificial Intelligence In Supply Chain Market In China Scope
Report Coverage
Details
Page number
120
Base year
2021
Forecast period
2022-2026
Growth momentum & CAGR
Accelerate at a CAGR of 40.54%
Market growth 2022-2026
USD 5.92 billion
Market structure
Fragmented
YoY growth (%)
34.82
Regional analysis
China
Competitive landscape
Leading companies, competitive strategies, consumer engagement scope
Companies profiled
Accenture Plc, Alphabet Inc., Dynamo management Co. LLC, General Electric Co., International Business Machines Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Salesforce.com Inc., and Siemens AG
Market Dynamics
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and future consumer dynamics, market condition analysis for the forecast period,
Customization purview
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.
Table of Content
1. Executive Summary
1.1 Market Overview
Exhibit 01: Key Finding 1
Exhibit 02: Key Finding 2
Exhibit 03: Key Finding 5
Exhibit 04: Key Finding 6
Exhibit 05: Key Finding 7
2. Market Landscape
2.1 Market ecosystem
Exhibit 06: Parent market
Exhibit 07: Market characteristics
2.2 Value chain analysis
3. Market Sizing
3.1 Market definition
Exhibit 08: Offerings of vendors included in the market definition
3.2 Market segment analysis
Exhibit 09: Market segments
3.3 Market size 2021
3.4 Market outlook: Forecast for 2021 - 2026
3.4.1 Estimating growth rates for emerging and high-growth markets
3.4.2 Estimating growth rates for mature markets
Exhibit 10: China - Market size and forecast 2021 - 2026 ($ million)
Exhibit 11: China market: Year-over-year growth 2021 - 2026 (%)
4. Five Forces Analysis
4.1 Five Forces Summary
Exhibit 12: Five forces analysis 2021 & 2026
4.2 Bargaining power of buyers
Exhibit 13: Bargaining power of buyers
4.3 Bargaining power of suppliers
Exhibit 14: Bargaining power of suppliers
4.4 Threat of new entrants
Exhibit 15: Threat of new entrants
4.5 Threat of substitutes
Exhibit 16: Threat of substitutes
4.6 Threat of rivalry
Exhibit 17: Threat of rivalry
4.7 Market condition
Exhibit 18: Market condition - Five forces 2021
5 Market Segmentation by End-user
5.1 Market segments
Exhibit 19: End-user - Market share 2021-2026 (%)
5.2 Comparison by End-user
Exhibit 20: Comparison by End-user
5.3 Automotive - Market size and forecast 2021-2026
Exhibit 21: Automotive - Market size and forecast 2021-2026 ($ million)
Exhibit 22: Automotive - Year-over-year growth 2021-2026 (%)
5.4 Retail - Market size and forecast 2021-2026
Exhibit 23: Retail - Market size and forecast 2021-2026 ($ million)
Exhibit 24: Retail - Year-over-year growth 2021-2026 (%)
5.5 Consumer-packaged goods - Market size and forecast 2021-2026
Exhibit 25: Consumer-packaged goods - Market size and forecast 2021-2026 ($ million)
Exhibit 26: Consumer-packaged goods - Year-over-year growth 2021-2026 (%)
5.6 Food and beverages - Market size and forecast 2021-2026
Exhibit 27: Food and beverages - Market size and forecast 2021-2026 ($ million)
Exhibit 28: Food and beverages - Year-over-year growth 2021-2026 (%)
5.7 Others - Market size and forecast 2021-2026
Exhibit 29: Others - Market size and forecast 2021-2026 ($ million)
Exhibit 30: Others - Year-over-year growth 2021-2026 (%)
5.8 Market opportunity by End-user
Exhibit 31: Market opportunity by End-user
6 Market Segmentation by Component