Category Archives: Artificial Intelligence
Artificial intelligence firm TheIncLab expands to Tampa – Tampa Bay Times
TAMPA A tech company that works to develop artificial intelligence-enabled systems that learn and collaborate with humans is expanding to Tampa.
TheIncLab, based near Washington D.C., has opened an AI+X lab that is, artificial intelligence plus experience at the Undercroft, a tech development center and membership guild for companies focused on cybersecurity. Along with TheIncLab, the Undercroft provides work space for local offices of BlackHorse Solutions, Sharp Decisions, @Risk Technologies and Bull Horn Communications.
The Undercroft has offices in one of Ybor Citys most historic structures, the El Pasaje building on E Ninth Avenue. Built in 1886, it originally housed the Cherokee Club, a private retreat for for wealthy cigar-makers. The building, with arched porticos reminiscent of Centro Habana in Cuba, also hosted Jos Mart, Theodore Roosevelt and Winston Churchill before going on to become known variously as a bordello, a speak-easy, a casino, a jazzy nightclub and a low-rent hotel.
But when TheIncLab founder and chief executive officer Adriana Avakian describes what made Tampa an attractive place to expand, she talks less about its local color and more about its "burgeoning technology and cybersecurity industry and abundance of highly qualified talent.
"We spent a fair amount of time in the Tampa-St. Petersburg area in the past six months establishing key relationships and meeting with strategic partners to ensure the success of our expansion, she said in an announcement released through the Tampa Bay Economic Development Council.
Since its founding in 2015, TheIncLab has signed up clients from several branches of the U.S. Department of Defense as well as from Fortune 500 companies in the health care, aerospace, manufacturing, consumer electronics and technology spaces. Its services are tailored to help clients accelerate innovation, launch new products and services, open new markets and redefine customer relationships. The firm also has a lab in Nashville.
TheIncLab anticipates hiring 15 developers and engineers in the next 12 months and partnering with bay area universities to augment its staff with student interns. Before it decided on Tampa, it talked with University of South Florida administrators about the availability of talent and research expertise.
Artificial intelligence is one of the great frontiers in the innovation economy," USF College of Engineering professor Sudeep Sarkar, who chairs USFs department of computer science and is co-chair of the USF Institute for AI+X, said in a statement released through the Economic Development Council. With young companies, our students and our faculty working together, Tampa is growing to become a promising center of diverse skills and new perspectives that will shape AIs future.
TheIncLab was one of 10 tech companies selected out of 432 applications from across the U.S. to participate in Tampa Bay Waves TechDiversity program last summer, and is the second of the 10 to expand or move to the Tampa Bay area.
Like Drift, a business-to-business marketing tech company that last month opened a Tampa office with plans to hire up to 100 employees by 2021, TheIncLab is not receiving any state or local incentives to expand here, according to Economic Development Council spokeswoman Laura Fontanills.
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Artificial intelligence firm TheIncLab expands to Tampa - Tampa Bay Times
This son of an Irish emigrant invented Artificial Intelligence and changed the world – IrishCentral
John McCarthy invented the term AI. Getty
John McCarthy was the son of a penniless Irish immigrant from Kerry and maybe the most important Irish American you never heard of. He died in 2011 aged 84.
He was an American computer scientist pioneer and inventor and is known as the father of artificial intelligence (AI) after playing the key role in the development of intelligent machines we now call computers. He won the Turing Prize, one step below the Nobel, in 1971.
He coined the term artificial intelligence for a 1955 Dartmouth College conference he chiefly organized which was the first-ever AI conference.
Decades later his work was critical for the creation of companies like Google as Sebastian Thrun, who currently leads the Google self-driving car project says.
"In my mind, Google is all about artificial intelligencewhat John McCarthy stood for matters, he said.
Read more: 5 discoveries and inventions you never knew were made by the Irish
McCarthy was the son of a union organizer, also John McCarthy, who had left the little fishing village of Cromane in Kerry in the early 1920s. First, he went to London.
He left home when he was 16 and went to London, selling a cow for the fare," his niece Mary Miller told the Irish Independent.
"He came back with a Jewish girl, Ida Glatt, from Lithuania, and they later got married. John Patrick spoke several languages and wrote regularly for The Kerryman before emigrating to Boston.
Both his parents were strong union and communist advocates, and his father found work as a union organizer in the depression in Los Angeles where John grew up. John Junior disavowed communism and became a convert to conservative Republicanism after Russia invaded Czechoslovakia in 1968.
McCarthy stated that his ultimate objective was to make a machine think exactly like a human and also be capable of abstract thought, solving problems and self-improvement.
Read more: Cornelius Ryan, the Irish D-Day reporter who re-invented journalism
That's still some years awayfive to 500 McCarthy once jokedbut AI, even in its current manifestation, has dramatically changed our world. (Isnt that right Alexa?)
Many of his colleagues thought he was nuts, but he persisted in his belief that "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it."
He went on to invent Lisp, acknowledged as one of the world's most influential programming languages which became the standard AI program language and is still used today. Famed computer scientist Alan Kay called Lisp the "greatest single programming language ever designed."
McCarthy also played a major role in the development of time-sharing systems.
"Without time-sharing, you wouldn't have the modern internet," says Lester Earnest, who worked with McCarthy at the Massachusetts Institute of Technology and at the Stanford Artificial Intelligence Lab. (Today we know time-sharing as the cloud.)
He was deeply interested in his Irish heritage and stayed in the homes of relatives during visits to Ireland. In 1992 Trinity College awarded him an honorary doctorate and he gave a lecture entitled The Little Thoughts of Thinking Machines.
McCarthy passed away at age 84 in 2011. He was truly a man who changed the world.
John McCarthy invented the term AI. Getty
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This son of an Irish emigrant invented Artificial Intelligence and changed the world - IrishCentral
Recent Federal Government Action on Artificial Intelligence and Next Generation Technologies – JD Supra
Updated: May 25, 2018:
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Recent Federal Government Action on Artificial Intelligence and Next Generation Technologies - JD Supra
The rapid growth in artificial intelligence in Japan – Open Access Government
Current rapid growth in artificial intelligence (AI) is fuelled predominantly by the rediscovery of deep learning. When it first surfaced 15 years ago, the concept was met with unfavourable conditions and largely abandoned in the aftermath. Nowadays, deep learning is back, circumstances are right and the field flourishes.
The described third boom in artificial AI and subsequent tightening technological and economic competition sent ripples through various aspects of the social realm, including policymaking. Many countries began working on national AI strategies, including current leaders China and U.S. and Japan also followed suit.
However, what distinguishes Japan from other countries is a consistent concept underlying all introduced regulation the vision of Society 5.0. This new form of society is saturated with AI-related technology, which not only improves the lives of its members, but also creates new aspects and new values. Individual needs are met in a timely and proportionate manner allowing for fulfilled and contented lives. With society 5.0 as a targeted outcome, the recently updated AI Strategy 2019 contains a wide spectrum of necessary actions comprising both facilitating the development of AI and utilising it for the advancement of industry and society.
The strength of the strategy lies in its emphasis on the practical application of AI, Japanese policymakers correctly recognised the versatility of AI and its potential to pervade and transform any given field, employing it to improve and lower costs of various processes, perform tasks beyond human capabilities and gain insight where human-operated analysis didnt reach.
The strategy aims not only to improve situation on a national level, targeting five designated priority areas (manufacturing, transportation and logistics, health and medical care, agriculture and disaster response) but also globally by helping solve major societal problems like ageing society or labour shortage, diversification of energy sources, GHG reduction or more efficient waste management, which lines up perfectly with achieving Sustainable Development Goals. According to the strategy, the solutions developed in Japan would then be made available for the world and if realised successfully, it might just be the advantage that Japan needs to win over its competitors.
Still, reaching the targets mentioned above requires major efforts in at least three vital areas: R&D, data and human resources.
At the moment, Japan along with the rest of the world struggles with a lack of educated professionals capable of handling AI-related technologies. The short-term relief could be brought by encouraging more women to participate in the job market and attracting skilled resources form overseas. In the long-term perspective, Japan is preparing for major educational system reform, introducing AI into curricula and making it obligatory part of the university entrance exam, creating a learning inducive environment for students (sufficient network infrastructure and access to communication devices) and facilitating lifelong learning for the existing workforce.
Recognising data as the sine qua non for the development of AI, the Japanese Government is making considerable effort to facilitate data circulation while maintaining its quality. Notable examples include The Basic Act on the Advancement of Utilising Public and Private Sector Data and The Act on the Protection of Personal Information. It is also worth mentioning, that all the practical applications of AI planned in the new AI Strategy are designed as two-way data flows one direction is technology and data deployment into the industry area and the other is the data gathered from users feeding further development of AI. To organise and structure the exchange, the Japanese Government plans to construct a data linkage infrastructure.
Finally, a lot of effort is also directed at the R&D area, with establishing a network of centres of excellence as the first step. In the search for disruptive innovation, the Japanese Government initiated many R&D programmes, the last of which Moonshot R&D positively surprises with scale and forwardness and also offers many opportunities for international collaboration for European partners.
Japan certainly seems determined to embrace and take advantage of AIs potential in transforming its own society and reinforcing its global position. It would, therefore, be beneficial for European companies to closely follow Japans next movements, as the two have a lot in common. With a shared approach to technology and related values (confirmed recently by the European Unions (EU) welcoming Japans Social Principles of Human-Centric AI) and common rivals, Japan and EU are natural allies and its high time to capitalise on cooperation potential.
For more information about AI policy in Japan, see the Analysis of opportunities for EU SMEs in Japans Data Economy and Artificial Intelligence in connection with Robotics report available on the EU-Japan Centre for Industrial Cooperation website.
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The rapid growth in artificial intelligence in Japan - Open Access Government
Proximity Lab Releases Research-focused Report on the Impact of Artificial Intelligence (AI) on Product Design: Features Insights from AI Experts and…
Proximity Lab, a leading UX research, strategy, and design agency, released an in-depth research report that studies the impact of artificial intelligence (AI) on digital product design. The report, "Up & Rising: How AI is Transforming Product Design & Creativity," is free and available for download at Proximity Lab's website.
PORTSMOUTH, N.H. (PRWEB) January 17, 2020
Proximity Lab, a leading UX research, strategy, and design agency, released an in-depth research report that studies the impact of artificial intelligence (AI) on digital product design. The report provides highlights from interviews with AI experts at leading product development companies including Adobe, Alarm.com, Eagle Genomics, MIT Media Lab, Nuance, and Salesforce and summarizes the results of a survey of over 100 digital product designers and knowledge workers.
Key areas of exploration include:
Anthony Finbow, CEO of Eagle Genomics and an expert in AI and ML, was part of the research. "The team at Proximity Lab focused on finding the answer to a critical issue for anyone building products: how to foster the right relationship between AI and the people using it. If you can get these interactions right, you have the opportunity to develop an entirely new conversation that can lead to insights and knowledge that neither a person or machine alone would have uncovered."
The report is divided into the following sections:
The report, "Up & Rising: How AI is Transforming Product Design & Creativity," is free and available for download at Proximity Lab's website.
About Proximity Lab
Proximity Lab is an award-winning interaction design studio with deep experience in research, product strategy and UX design. We are designers, creators and thinkers who bring diverse backgrounds together to develop a common vision to create products that emphasize clarity, simplicity and value. Our team has been helping enterprise software leaders and innovators rethink and reimagine software experiences for over 10 years. Proximity Lab is headquartered in Portsmouth, NH with offices in San Francisco, CA.
Proximity Lab on LinkedIn
For the original version on PRWeb visit: https://www.prweb.com/releases/proximity_lab_releases_research_focused_report_on_the_impact_of_artificial_intelligence_ai_on_product_design_features_insights_from_ai_experts_and_product_designers/prweb16822479.htm
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Proximity Lab Releases Research-focused Report on the Impact of Artificial Intelligence (AI) on Product Design: Features Insights from AI Experts and...
The global artificial intelligence (AI) in BFSI market was valued at $17,765.2 million in 2018 and is expected to reach $247,366.7 million by 2026,…
Artificial Intelligence in BFSI Market by Offerings (Hardware, Software, and Services), Solution (Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction, and Others), Technology (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing) : Global Opportunity Analysis and Industry Forecast, 20192026
New York, Jan. 16, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence in BFSI Market by Offerings, Solution, Technology : Global Opportunity Analysis and Industry Forecast, 20192026" - https://www.reportlinker.com/p05836997/?utm_source=GNW
The global artificial intelligence (AI) in BFSI market was valued at $17,765.2 million in 2018 and is expected to reach $247,366.7 million by 2026, registering a CAGR of 38.0% from 2019 to 2026. Artificial intelligence is the recreation of human intelligence that perform tasks like humans. In financial institutions and other major finance industries, AI has become a core adaption and is expected to change the overall scenario of product and service offerings. For instance, insurance companies are improving risk models to maintain customer loyalty and client satisfaction with the help of advanced AI technological platforms.
Various fraud detection, risk mitigation, back-end office works with thousands of people processing customer requests are improved with the help of AI enabled technologies such as chatbots, machine learning, and other such technologies, which boosts the growth of the market. In addition, the reduction in the tendency of human errors by automation of backend processes and enhancement in proactive customer experience is expected to drive the growth of the AI in the BFSI market. However, rise in security concerns, inadequacy of trust while issuing customer data, and higher cost for implementation of AI technologies is expected to restrain the market growth. New entrants like FinTech (Financial Technology) with advance features in the market, new initiatives in government regulations, and existing traditional banking system provides lucrative opportunities for the market growth.
The global artificial intelligence (AI) in BFSI market is segmented on the basis of offerings, solution, technology, and region. On the basis of offerings, it is segmented into hardware, software, and services. By service providers, it is segmented into chatbots, fraud detection & prevention, anti-money laundering, customer relationship management, data analytics & prediction, and others. By technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
KEY BENEFITS FOR STAKEHOLDERS ? The study provides an in-depth analysis of the global artificial intelligence (AI) in BFSI market along with the current trends and future estimations to elucidate the imminent investment pockets. ? Comprehensive analysis of the factors that drive and restrict the market growth is provided in the report. ? Comprehensive quantitative analysis of the industry from 2019 to 2026 is provided to enable the stakeholders to capitalize on the prevailing market opportunities. ? Extensive analysis of the key segments of the industry helps in understanding the offerings, solution, and technology across the globe. ? Key market players and their strategies have been analyzed to understand the competitive outlook of the market.
KEY MARKET SEGMENTS By Offerings o Hardware o Software o Services By Solution o Chatbots o Fraud Detection & Prevention o Anti-Money Laundering o Customer Relationship Management o Data Analytics & Prediction o Others By Technology o Deep Learning o Querying Method o Natural Language Processing o Context Aware Processing By Region o North America U.S. Canada Mexico o Europe o UK o Germany o France o Rest of Europe o Asia-Pacific o Japan o India o China o Australia o Rest of Asia-Pacific o LAMEA o Middle East o Latin America o Africa
KEY PLAYERS PROFILED Alphabet Inc. (Google) Baidu, Inc. Inbenta Technologies, Inc. Intel Corporation International Business Machines Corporation (IBM) Microsoft Corporation Oracle Corporation Palantir Technologies Inc. SAP SE salesforce.com, inc.
The other players in the market include (profiles not included in the report) the following: Lexalytics Inc. Digital Reasoning Inc. Interaction LLC, Inc. Ipsoft Inc. Zest FinanceRead the full report: https://www.reportlinker.com/p05836997/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
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Enterprise Artificial Intelligence Market by Deployment Type, Technology, Organization Size, and Industry Vertical : Global Opportunity Analysis And…
Enterprise Artificial Intelligence (AI) Market by Deployment Type (Cloud and On-Premise), Technology (Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition), Organization Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis And Industry Forecast, 2019-2026
New York, Jan. 17, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Enterprise Artificial Intelligence Market by Deployment Type, Technology, Organization Size, and Industry Vertical : Global Opportunity Analysis And Industry Forecast, 2019-2026" - https://www.reportlinker.com/p05828825/?utm_source=GNW
Artificial intelligence has been one of the fastest-growing technologies in recent years. AI is associated to human intelligence with similar characteristics, such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. AI is positioned at the core of the next-gen software technologies in the market. Companies, such as Google, IBM, Microsoft, and other leading players, have actively implemented AI as a crucial part of their technologies. The increase in number of innovative start-ups and advancements in technology have led to rise in investment in artificial intelligence technologies. Moreover, escalating demand for analyzing and interpreting large amount of data boosts the requirement of artificial intelligence industry solutions. Moreover, development of more reliable cloud computing infrastructures and improvements in dynamic artificial intelligence solutions have a strong impact on the growth potential of the AI market. However, lack of trained and experienced staff hinders the growth of the enterprise Artificial Intelligence (AI) market. Furthermore, increase in adoption of AI in developing economies, such as China, and India are expected to provide major opportunities for the market growth in the upcoming years. Also, on-going developments in smart virtual assistants and robots are anticipated to be opportunistic for the growth of the enterprise artificial intelligence (AI) market. The global enterprise artificial intelligence (AI) market is segmented on the basis of deployment type, technology, organization size, industry vertical, and region. Based on deployment type, the market is bifurcated into cloud and on-premise. Based on technology, the market is divided into machine learning, natural language processing, image processing, and speech recognition. Based on organization size, the market is classified into large enterprises and small & medium enterprises. Depending on industry vertical, the market is segmented into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. The report includes the profiles of key players operating in the market analysis. These include Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, SAP, Verint, and Wipro Limited.
KEY BENEFITS The report provides an in-depth analysis of the global enterprise artificial intelligence (AI) market trends, key driving factors, and potential areas for product investments. Key players are analyzed with respect to their primary offerings, recent investments, and future development strategies. Porters five forces analysis illustrates the potency of buyers and suppliers operating in the industry. The quantitative analysis of the global enterprise artificial intelligence (AI) market share from 2018 to 2026 is provided to determine the market potential.
KEY MARKET SEGMENTS
BY DEPLOYMENT TYPE Cloud On-premise
BY TECHNOLOGY Machine Learning Natural Language Processing Image Processing Speech Recognition
BY ORGANIZATION SIZE Large Enterprises Small & Medium Enterprises
BY INDUSTRY VERTICAL Media & Advertising BFSI IT & Telecom Retail Healthcare Automotive & Transportation Others
BY REGION North America o U.S. o Canada
Europe o UK o Germany o France o Russia o Rest of Europe
Asia-Pacific o China o Japan o India o Australia o Rest of Asia-Pacific
LAMEA o Latin America o Middle East o Africa
KEY MARKET PLAYERS PROFILED IN THE REPORT Alphabet Inc. (Google Inc.) Apple Inc. Amazon Web Services, Inc. International Business Machines Corporation IPsoft Inc. MicroStrategy Incorporated NVIDIA Corporation SAP Verint Wipro Limited
Read the full report: https://www.reportlinker.com/p05828825/?utm_source=GNW
About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.
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Enterprise Artificial Intelligence Market by Deployment Type, Technology, Organization Size, and Industry Vertical : Global Opportunity Analysis And...
Revolutionizing IoT Through AI: Why Theyre Perfect Together – IoT For All
The IoT global market revenue will reach approximately USD 1.1 trillion by 2025, predicts IDC.
IDC also says that the global IoT connections will rise with a 17 percent Compound Annual Growth Rate (CAGR) from 7 billion to 25 billion between the years 2017 to 2025.
Back in 2018, Sophia a humanoid robot performed a duet with Jimmy Fallon at his show. This performance left the audience awestruck. The entire world was spellbound of how Sophia (humanoid robot) could showcase human emotion while performing the song.
David Hanson, an American roboticist, who is the founder and Chief Executive Officer of Hanson Robotics, not only invented AI that could mirror human intelligence but also enabled it to show human emotion.
A major breakthrough in the technology world.
Well, this is just a teaser of whats coming for us.
While were here sitting in an era where science fiction is a popular genre of books has already engulfed how AI will be seen at the forefront were already living in the future thats beyond AI.
With leaps and bounds in the tech industry, AI holds a lot more in the technology world. Combining it with IoT has only further enhanced the usage of both the technologies. While IoT enables connecting two or more sensors, platforms, objects or networks to enable data transmission for several applications, AI offers the capability of analyzing the most critical information easily providing valuable insights and making highly informed decisions.
This simply means that smart AI experts will get the opportunity to bring in new IoT-enabled solutions to life.
IoT is described as the network of physical objects. For instance, these can be things that can be embedded with technologies, software or sensors that further helps in connecting or the exchange of data with other devices or systems via the internet or vice versa.
Now, these devices could be a simple ordinary household object or even sophisticated industrial tools.
There are over 8.3 billion IoT devices connected today. The growth further projects to grow to 10 billion by next year (2020) and 22 billion in 2025.
If youre wondering how AI is being used with IoT, here are a few perfect examples for you to understand.
Created by Alibaba Cloud, ET City Brain is an AI platform solution which helps in optimizing the usage of public urban resources. This has been successfully implemented in Hangzhou, China that led to a decrease in traffic by 15 percent.
The ET City Brain not only helped detect road accidents and illegal parking but also helps ambulances reach their destinations by changing the traffic signals.
Youve probably heard of the classroom monitoring system. Although this has raised certain controversy, a high school in Hangzhou, China is already making use of this system.
This camera scans the room once per 30 seconds. The algorithm is then able to determine the emotions of the student (sad, happy, angry or bored, etc.) along with their behavior such as writing, reading or raising their hand.
According to the Vice-principal of the school, its said that the system is managed locally and the behavior is focused on the entire class and not a single individual.
The data gathered is through cameras and the next step which is the image recognition step is done at the local servers.
The Tesla autopilot system enables GPS, sonars, cameras and forward-looking radars, in combination with specialized hardware, through which data can be fully utilized and coupled into Neural Network Architectures. This works like a self-enclosed system that gathers information from the sensors and further uses the Neural Network model that determines the next change in the movement of the car.
Dearth for talent and lack of expertise in the IoT market reveals the upsurge for AI professionals AI specialists and AI engineers.
AI and IoT are inseparable. The entire idea of artificial intelligence is to capture more actionable data from IoT devices.
The Internet of Things is already disrupting various industries impacting human lives in several ways.
Precisely, AI is more about making machines put in intelligent behavior. Whilst, the function of IoT is to make these machines connect. The reciprocal behavior of both these technologies manifests itself in forms that cannot be comprehended.
Thus, AI experts will play a significant role in the unprecedented growth of the IoT era.
Although the disruption of these technologies will not happen overnight, its already indubitably arriving at a much faster pace than expected.
Artificial Intelligence and IoT cannot be ignored anymore!
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Revolutionizing IoT Through AI: Why Theyre Perfect Together - IoT For All
From Artificial Intelligence to Augmented Reality to Peer-to-Peer Learning, 7 Ed Tech Trends to Watch in 2020 – The 74
Technology has taken over the century, creating a rapidly changing landscape that has dramatically touched nearly every aspect of social interaction, business and entertainment. Education, though, has proved slow in experiencing the digital disruption, says Michal Borkowski, CEO and co-founder of Brainly, an online peer-to-peer learning community. He views the 2020s as technologys time to shine in education.
While many new ed tech tools are emerging and helping to democratize education, the next decade will bring an even greater emergence of diverse platforms and resources for learners worldwide, he says. I expect that in the next few years well see the education world opening up to these advances in new ways.
Here are some ed tech trends to watch in 2020 and beyond.
1 Using Technology to Create Equality
As approaches to education differ greatly from one district to another, from one teacher to another and from one school budget to another, Borkowski believes technology can be an equalizer. Ed tech platforms serve as a single platform for every stakeholder in education to come together, he says. They celebrate the uniqueness and individuality of every student by bringing all the elements of the classrooms the teachers, the students and the parents together. Technology can extend the classroom learning experience into the home, offering greater opportunity for all students, and it can better help teachers individualize learning opportunities in school.
2 Artificial Intelligence
Artificial intelligence has improved quickly in the area of language, and Borkowski expects AI to further harness individualized learning, creating experiences that are specific to users and provide a highly optimized, beneficial learning environment. As AI and automation enter into education through additional technologies and apps, teachers will have added access to make individualized learning easier to implement in classrooms across multiple subjects. And as the technology identifies specific student needs and provides opportunities for learning, teachers can better focus instructional time.
3 Augmented Reality
As educators look for ways to keep students engaged and give them out-of-the-classroom experiences, says Matt Noble, executive vice president for EF Explore America, augmented reality will continue to open up fresh worlds for students. This new technology is designed to get students to look out rather than look down, he says. Since EF specializes in travel experiences for students, the company has integrated augmented reality to, for example, allow students visiting Washington, D.C., to see Martin Luther King Jr.s I Have a Dream speech come to life on the steps of the Lincoln Memorial or to listen to a World War II veteran recount the Normandy beach landing on D-Day.
4 Technology in New Subjects
STEM science, technology, engineering and math has started making inroads toward STEAM, adding art to the moniker. Advancements in ed tech are now at a point where learning can take place anywhere, Borkowski says. Grade- and high-school-level teachers are experimenting with webinars, online tutorials and other forms of tech-based instruction to connect to students in environments where they are more inclined to learn. Expect innovative apps and programs to introduce students to new worlds, whether its museums across the globe or ways to learn about digital art. With this increased emphasis on STEAM, expect to see new waves of technology with an emphasis on art. And once art takes center stage for technological growth, which subjects will be next?
5 Peer-to-Peer Learning
Brainly has planted its flag in peer-to-peer learning outside the classroom, with 150 million users answering education-related questions within its online learning community, and Borkowski believes this method will make its way into the schoolhouse as well. The idea of peer-to-peer learning invites those with knowledge or experiences to share with those seeking that same knowledge or experience sort of crowdsourcing education. Going beyond the traditional academics-oriented approach, crowd learning provides an authentic and enhanced experience by incorporating real-life skills and values in young minds along with the facilitation of learning, he says. This does not just enrich their knowledge about a certain topic, but helps them understand a topic to its very essence rather than just on the surface level. Getting various perspectives via peer-to-peer learning can help that happen, and technology can expand the reach of peer-to-peer learning from a fixed classroom to places across the world.
6 Making Math Matter
Borkowski says that when Brainly enters a new market, about 60 percent of the initial activity surrounds math it is the subject that students worldwide struggle with the most. But there are plenty of people out there looking to continue to provide help. Expect this focus on math to take a technological twist as more and more tools aimed at assisting math understanding debut and grow.
7 The Rise of Video
Video already dominates social media; we all know its use in entertainment and advertising. But video hasnt really taken off yet in education. Borkowski believes that video will grow in popularity, from online tutoring platforms to educational content. Were expecting to see more of it, he says, in the very near future.
Todays students grew up with technology and can speak it like a first language, Borkowski says. They can use technological tools and leverage them to improve their own knowledge better than ever before.
From the Ground Up: Using Artificial Intelligence for Weed Control – KBTX
BRYAN, Tex. (KBTX) - Almost everyone knows what a smartphone is, but there are also new generations of smart machines being built that will be used in agriculture to help manage a crop. Shannon Pickering is a market development manager for Blue River Technology.
We are working on several projects but primarily focused on spraying. So precision spraying using computer vision systems and artificial intelligence in order to be able to identify every plant in the field and determine what is the crop versus the weeds and only spray the weeds.
John Deere acquired Blue River Technology in 2017 to help make its Ag equipment smarter.
We hope to do several things all at once basically. Number one is become more efficient. Utilize resources wisely. Be able to spray less pesticides on crops. If we can identify the weeds in the field and only spray the weeds instead of spraying the entire field then thats a big deal. Thats a lot of chemical savings thats not going into the soil or onto the plant. So being able to provide a more sustainable solution for our farmers going forward is really a big deal for us.
One of their early conceptual sprayers showed up to 95 percent fewer chemicals being sprayed in the field where they were being very precise and applying it only where it needed to go which was on the weeds.
It has to provide value to the grower. It has to provide efficiency to pay for itself, and so thats a must and it will do that for sure. The technology is here. We definitely have the capability of doing this today. Its just a matter of integrating it into the machinery. Were a few years away yet probably from seeing it in a go-to-market form but the potential is there. The technology works and its coming for sure.
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From the Ground Up: Using Artificial Intelligence for Weed Control - KBTX