Category Archives: Artificial Intelligence

Artificial intelligence and machine learning have moved from the backrooms of computer science into the mainstream. Their impact is being felt in everything - from how we shop through to finance markets and medical research, as well as the agriculture and manufacture industries.

That's according to AI firm Appier, who has released its AI Predictions and Trends to Watch in 2021.

According to the company, larger models have been trained in separated modality. For instance, GPT-3 is the first 100-billion-parameter model for natural language processing (NLP). Recently, a-trillion-parameter model (T5-XXL) has also been trained. They can be used to write articles, analyse text, perform translations and even create poetry.

"In parallel, we've seen models used for image recognition and generation greatly improved as they have also been trained with more data sets," Appier says.

"What we are seeing emerge is the power that can come from combining two or more AI models without changing these large models.

"In this way, combining these large models becomes affordable. That will allow us to use AI to interpret text and generate a completely new image."

The following are the current observations and predictions of AI applications in five major fields:

The E-Commerce Boom Is AI-Driven

Over the last year, online commerce has grown significantly and is expected to continue to increase. COVID-19 restrictions have resulted in people spending much more time online -- not just shopping but in online meetings, playing games, accessing social media and using apps.

The growing digital journeys undertaken by people have generated more data that can be used to understand human behaviour. However, more data also brings a greater complexity.

Today, there's no single, most effective channel for reaching customers. Reaching the right customer on the right channel at the right time is complicated for humans, but that complexity can be overcome through the use of AI.

AI gives marketers a way to influence customer's behaviour at a pace and scale previously thought impossible. AI not only finds the right customers, but also accesses the often-forgotten long tail of customers. It can also effectively generate creatives and develop customised content for different customers, and test the performance for different creatives to increase user engagement.

Data-Driven Finance Relies on AI

The main application of AI in finance has been in high-frequency trading where transactions are conducted between machines faster than people can communicate. This will continue in both traditional finance and in the world of cryptocurrencies, where we see different AIs engage in 'warfare'.

Investors have been using AI to make long-term predictions -- which has required systems that can understand investors' long-term targets. These were typically centred around measures such as revenues, incomes and profits.

While high-frequency trading strategies are important, there is another factor to show that cryptocurrencies are far more challenging to predict. Much of what we see in cryptocurrency markets is driven by 'human madness'. While AI models struggle with this today, we can expect the AI models of the future to evolve and do a better job of predicting this behaviour through closely monitoring trends in media and social networks.

AI in Healthcare and Biomedical Research

The prototype of messenger RNA (mRNA) COVID-19 vaccines was developed in days thanks to the digitisation tools of genetic code sequencing and the transcription tools of making mRNA from genetic code sequence.

With the help of AI to predict new mutations in the Sars-Cov-2 virus, the process of developing mRNA vaccines will be even faster. AI can also be used as a diagnostic tool to read x-rays, based on the sound of someone coughing and indicate whether the patient is likely to be suffering from COVID-19 or some other illness.

In the biomedical domain, sequences of codes, such as DNA or amino acid, are commonly used. Since sequences of codes can be treated as a type of language with hidden structure, the architecture used in NLP models can be potentially used to understand and generate sequences of codes in the biomedical domain as well.

One example in early 2021 is that biomedical researchers used language model architecture to predict virus mutations and to understand protein folding -- a key challenge in the creation of some of the vaccines now available. This finding is actually adapting the architecture of one model to solve problems in the biomedical domain.

Machine learning and AI don't replace clinicians and researchers; they allow these professionals to work faster and rapidly test hypotheses.

Instead of waiting for cell cultures to grow in the physical world, they can use these models to understand what will happen much faster in the digital simulation.

As more and more people wear devices that can monitor heart rate, body temperature, blood pressure and other critical factors, the data can be used to give doctors greater insight into a patient's condition. It also aids accuracy when making diagnoses as doctors and other clinicians are no longer reliant on patient recollections.

The Future of Education

Curricula and textbooks have typically been developed to serve large populations of 'average' students. These materials include content designed for a wide gamut of different abilities.

However, experts, such as Sir Ken Robinson, point out that the 'conveyor belt' model of education doesn't take into account the individual abilities and needs of students. Therefore, we have seen AI being used to revolutionise the way curricula is created and delivered.

It can be used to provide more personalised curricula or personal problem sets for students. Instead of every student working through the same set of problems or questions, they receive a set that are customised to their specific level.

For example, a student may be very strong with fractions in mathematics, but have a problem with trigonometry. Instead of putting the student through the standard curriculum, he or she would spend less time on fractions and more time on trigonometry. As a student proceeds through a course, AI will monitor his progress and self-modify to meet the specific needs of that student.

With so much content now available online, cheating and plagiarism has become a huge issue. While detecting plagiarism is quite easy -- there is already AI that can detect direct copying and similar text where just a few words or the tense are altered -- there are other challenges. For example, a student may take content from one language and translate it to another. This is harder to detect, but AI is being developed to solve this problem. Similarly, image interpretation AI is being developed to find instances where arts students copy or imitate a design.

Smart Farming and Factories

Factories and farms are using data in innovative ways too. However, they differ from many other AI applications as they don't focus on end-users. Instead, they focus on products, produce and machines. This requires an investment in sensors, robots and automation, and the optimisation of operations.

The biggest development we are seeing in this area is in the generalisation of findings between different areas. For example, if AI is being used to increase yields in an apple crop, can those AI models be reapplied for the growing of other fruits such as bananas or peaches? Similarly, if a factory is manufacturing LCD panels and has found ways to increase their yield rates, can those tools and lessons be applied to other manufacturing processes and factories?

Perhaps the biggest prediction to make about AI in 2021 and beyond can be summarised in one word: leverage, Appier says.

"Using existing AI model architecture, combining well developed models and finding ways to generalise existing models to other applications will continuously increase the impact of AI along with accelerated digital transformation across many domains."

Read the original:

Artificial intelligence felt in everything we do - report - IT Brief Australia

SAN FRANCISCO--(BUSINESS WIRE)--Today, the AI Infrastructure Alliance (AIIA), a non-profit organization with 25 global members officially launched with the mission to create a robust collaboration environment for companies and communities in the artificial intelligence (AI) and machine learning (ML) space. This global Alliance brings together top technologists across the AI spectrum and includes a wide range of member companies. Together, these companies and communities provide a glimpse into the future where AI creates real value for everyday businesses and not just big tech powerhouses.

Partnerships in the Alliance will help create a Canonical Stack for AI, by driving strong engineering standards and creating seamless integration points between various layers of the AI infrastructure ecosystem. Canonical means "a set of rules, standards and principles by which something is judged, and a Canonical Stack (CS) for AI will set the standard for how enterprises develop and design machine learning models at scale. It will let data scientists and data engineers move up the stack to solve more complex, higher order problems, instead of reinventing the wheel on every data science project.

The AI and ML space currently lacks a standard set of tools and solutions, blocking data science teams from sharing their work and collaborating across the world. Rather, there is wild proliferation of proprietary, cloud lock-in solutions that benefit individual companies, but not the data scientists and engineers building the AI applications of today and tomorrow. The Alliance came together to help those data science teams break out of lock-in so they can build on top of a standardized, open platform that works across all of their environments.

"Time and again, I've seen development teams get excited about the potential of AI to transform their business and applications, only for them to get stopped dead in their tracks by a fragmented and confusing array of technologies with little to no integration," said Dan Jefferies, Director of the AIIA. "Despite a massive surge of partial solutions, no single tool exists that lets teams leverage the true power and potential of AI. The AI Infrastructure Alliance will help create clarity in this confusing space by building a cohesive framework and bringing together leaders and innovators to help set the standard for how data science teams build models now, and into the future."

The AI Infrastructure Alliance provides a range of benefits to member companies including opportunity to:

Creating a place for top AI companies to work together will speed development of the infrastructure that businesses really need to make the promise of AI a reality, said Joey Zwicker, Co-Founder of Pachyderm, a founding member of the AIIA. As the Canonical Stack comes together, it will vastly reduce time to value for any company, in any industry, thats leveraging AI across their business.

Core founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, cnvrg.io, Arize AI, CometML, Iguazio, UbiOps, and Fiddler. These companies have raised over $200M in collective venture capital funding from top firms including Andreessen Horowitz, Sequoia Capital, GV, Benchmark, NorWest Venture Partners, Madrona Venture Group and Gradient Ventures.

About the Artificial Intelligence Infrastructure Alliance

The Artificial Intelligence Infrastructure Alliance (AIIA) is a consortium of leading artificial intelligence startups with a mission to help every company realize the infinite potential of AI. Formed in February 2021, the Alliance is focused on tying together the complex web of existing AI technologies into a single Canonical Stack, providing the infrastructure on which any companyfrom tiny startups to global enterprisescan run impactful AI projects. Founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, cnvrg.io, Arize AI, CometML, Iguazio, UbiOps, and Fiddler. To learn more about the AIIA or to become a member, visit https://ai-infrastructure.org/.

See the original post:

The AI Infrastructure Alliance Launches With 25 Members to Create the Canonical Stack for Artificial Intelligence Projects - Business Wire

BEIRUT In two Gulf countries focused on advancing artificial intelligence to boost their economies, experts expect military AI technology to progress quickly and extend the reach of the nations armed forces.

Saudi Arabia and United Arab Emirates also are carving a niche in the defense export market by adding AI capabilities and pursuing emerging technologies, said Jean-Marc Rickli, head of global risk and resilience at the Geneva Centre for Security Policy.

Both adopted Vision 2030 development strategies, which have data and AI at their core to help the countries move beyond oil-based economies, Rickli said.

Their militaries will realize benefits from the emphasis on AI.

In the military, technology increasingly has the potential to become a surrogate in warfare. It allows smaller powers and also non-state actors, to use technology as a force multiplier across all dimensions of the battlefield and beyond, Rickli said.

For example, with the limited size of UAEs armed forces, increasing integration of AI in the military, such as in weapons or C4ISR systems, allows defense tasks to be performed increasingly autonomously and thus reducing economic and human costs, he said.

UAE leads the way in AI developments in the Gulf countries, Rickli noted. It was the first country to appoint AI minister and founded Mohamed bin Zayed University of Artificial Intelligence.

Last fall, the Saudi Data & AI Authority launched the countrys National Strategy for Data and Artificial Intelligence to make it a global AI leader by 2030. One effort has been to track data from COVID-19 infections to help with the countrys response and precautions.

Sign up for the C4ISRNET newsletter about future battlefield technologies.

(please select a country) United States United Kingdom Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, The Democratic Republic of The Cook Islands Costa Rica Cote D'ivoire Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, Democratic People's Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory, Occupied Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and The Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia and Montenegro Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and The South Sandwich Islands Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand Timor-leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela Viet Nam Virgin Islands, British Virgin Islands, U.S. Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe

Subscribe

By giving us your email, you are opting in to the C4ISRNET Daily Brief.

Artificial intelligence likely will have the most powerful effect on the countries financial sectors, but it is in the domains of defense, intelligence, and counterterrorism where the use of AI will probably grow the fastest, said Giorgio Cafiero, CEO of Gulf State Analytics, a Washington, D.C.-based consulting firm that assesses risks and opportunities among Gulf Cooperation Council states.

Regarding the advancement of AI, there will be major consequences for the Saudi military as well as the kingdoms security, especially when one considers the extent to which autonomous agents will play important roles in the future of Middle Eastern warfare, Cafiero said.

A spot in the defense market

Previously, neither country has had the capabilities or workforce to invest in vast research and development for expensive weapons programs, but emerging technologies could provide a niche.

As Turkey has developed a niche in the drone industry by producing drones (Kargu) that display semiautonomous features. Similarly, Israel has invested in this market (Harop and Harpy) in addition to air defense systems (Iron Dome) and cyber security. The UAE and KSA seem to adopt a similar path, to provide a niche in the defense market through emerging technologies, Rickli said.

Though it is costly for these technologies to mature, once they have reached maturity, their diffusion is very rapid. It is almost impossible to prevent the proliferation of codes. Furthermore, algorithms can also be repurposed, i.e. used or applied in a way that they were not intended, he explained.

Rickli pointed to the example of how UAEs Edge defense conglomerate is building automation and AI into some products. Edge ranked 22nd of the list of the top 25 arms-producing and military services companies in the world, according to the Stockholm International Peace Research Institute Arms Industry Database.

Last year, Edge subsidiary ADASI unveiled its first UAE-made vertical-takeoff-and-landing drone, Garmousha, that incorporates technology using AI algorithms.

UAE with Edge has set the foundation to compete in the global defense market, and investments in AI automation offers huge growth potential, Rickli said.

And the state-owned Saudi Arabian Military Industries recently acquired Advanced Electronics Co., a step forward in building its defense electronics capabilities. Plus, the deal lines up with Saudi Vision 2030 directives to increase in-country defense manufacturing.

Internal experts, international partnerships

Experts noted that automation and increased productivity from artificial intelligence could reduce the nations need for foreign workers.

Through NSDAI [National Strategy for Data and Artificial Intelligence], the Saudis seek to lure roughly USD 20 billion in investment, both from abroad and from within the kingdom, in the next nine years and to train approximately 2,000 Saudis to become AI specialists before 2030, Cafiero said.

The two countries still hire AI specialists from the West and increasingly from China to fill workforce needs, Rickli said. But they also set up academic institutions UAEs Mohamed Bin Zayed University of Artificial Intelligence and the Artificial Intelligence Initiative at King Abdullah University of Science and Technology in Saudi Arabia to develop local talent, he noted.

With a new diplomatic agreement between UAE and Israel, theres a good chance that their AI collaboration will increase. When it comes to AI, the knowledge acquired by Israel in the field, notably in the defense sector, is very appealing for the UAE, Rickli said. Hence, it is very likely that cooperation will develop further in this field between the two countries.

Read this article:

AI militarization will be 'force multiplier' for UAE, Saudi Arabia - C4ISRNet

Phoenix, Arizona--(Newsfile Corp. - February 22, 2021) - The Stock Day Podcast welcomed Artificial Intelligence Technology Solutions (OTC Pink: AITX) ("the Company"), an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. CEO of the Company, Steve Reinharz, joined Stock Day host Everett Jolly.

Jolly began the interview by asking about the Company's background and current projects. "It was 2017 when I did the reverse merger into the public company that I then renamed 'Artificial Intelligence Technology Solutions'," explained Reinharz, after elaborating on his experience in the artificial intelligence space.

"What are your revenue goals moving forward and what markets are you hoping to penetrate?" asked Jolly. "As far as revenues go, we've had double-digit percent growth month-over-month, which is fantastic. That kind of exponential growth is going to be one of our goals for the foreseeable future," said Reinharz, noting that the Company has also been working to improve the Company's financials. "We had a situation where sales were outpacing our ability to produce, so we moved into a new assembly location in California, and recently it looks like we have been outgrowing that facility, which will accelerate our plans to move into a much larger facility in Michigan presumably before the end of this year."

"From a sales growth standpoint, I couldn't be happier. From a market acceptance standpoint, we've got a long way to go. We're just scratching the surface," said Reinharz. "We have a platform-style solution that applies across a variety of markets," he continued. "We have five products in the market right now," said Reinharz. "We have a very focused road map for 2021 and 2022 from a development standpoint. So, we're just going to continue to build and grow," he shared. "Our mission is to be the incumbent in this new space that we are creating, which we call the 'Autonomous Remote Services' space."

Story continues

"For the Robotic Assistance Devices (RAD), what is the price point from the lowest to the highest?" asked Jolly. "It is going to be from about $700 to $6,000 per month," explained Reinharz, noting that the Company's solutions drastically reduce the cost of traditional manned security services.

The conversation then turned to a recent advertisement released by the Company. "We wanted to participate in a positive messaging piece," said Reinharz. "It's called 'America Renewed' on USA TODAY," he added. "We wanted to be a part of the story of how we are protecting ourselves and staying healthy using technology and autonomous systems to do it," explained Reinharz. "We had paid participation by all of the dealers on the ad," he shared, noting that the advertisement represented both a low-cost and high-visibility opportunity for the Company.

To close the interview, Reinharz encouraged listeners to consider the future and potential of the artificial intelligence space as workplace roles continue to evolve and embrace technology. Reinharz also expressed his gratitude for the opportunity to reach listeners and shareholders, and encouraged listeners to take a closer look at the Company's current projects and new developments.

To hear the entire interview with Steve Reinharz, follow the link to the podcast here: https://audioboom.com/posts/7805851-artificial-intelligence-technology-solutions-discusses-the-potential-of-its-robotic-assistance-de

Investors Hangout is a proud sponsor of "Stock Day," and Stock Day Media encourages listeners to visit the company's message board at https://investorshangout.com/

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTS

This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of Artificial Intelligence Technology Solutions to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, and other risks. Artificial Intelligence Technology Solutions undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in Artificial Intelligence Technology Solutions expectations.

About Artificial Intelligence Technology Solutions (AITX)

AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITX's RAD and RAD-M companies help organizations streamline operations, increase ROI and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services, and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staffs and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education and healthcare. To learn more, visit http://www.aitx.ai and http://www.roboticassistancedevices.com, or follow Steve Reinharz on Twitter @SteveReinharz.

ContactsInvestor Relations Contact The Waypoint Refinery, LLC(845) 397-2956www.thewaypointrefinery.com

Steve Reinharz (949) 636-7060

About The "Stock Day" Podcast

Founded in 2013, Stock Day is the fastest growing media outlet for Nano-Cap and Micro-Cap companies. It educates investors while simultaneously working with penny stock and OTC companies, providing transparency and clarification of under-valued, under-sold Micro-Cap stocks of the market. Stock Day provides companies with customized solutions to their news distribution in both national and international media outlets. The Stock Day Podcast is the number one radio show of its kind in America.

SOURCE:

Stock Day Media

(602) 821-1102

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/75058

Read more:

Artificial Intelligence Technology Solutions Discusses the Potential of Its Robotic Assistance Devices (RAD) with The Stock Day Podcast - Yahoo...

DALLAS, TX / ACCESSWIRE / February 22, 2021 / According to a new market report published by Lucintel, the future of the global artificial intelligence market looks attractive with opportunities in the healthcare, security, retail, automotive, manufacturing, and financial technology (fintech) sectors. The global artificial intelligence market is expected to decline in 2020 due to global economic recession led by COVID-19. However, market will witness recovery in the year 2021 and it is expected to reach an estimated $70 billion by 2025 with a CAGR of 21% from 2020 to 2025. The major drivers for this market are increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology.

To download report brochure, please go to https://www.lucintel.com/artificial-intelligence-market.aspx and click "report brochure" tab from the menu.

In this market, different types of artificial intelligence such as machine learning, natural learning processing, and others are used as technology. On the basis of comprehensive research, Lucintel forecasts that the machine learning technology will remain the largest segment and it is also expected to witness the highest growth over the forecast period due to increasing adoption of this technology in the autonomous applications and growing consumer preference for IoT-enabled devices.

Within the artificial intelligence market, media and advertising will remain the largest application due to an increasing adoption of customer-centric marketing strategies and increasing use of social platform for advertisements. The healthcare segment is expected to witness the highest growth over forecast period due to advancements in clinical research and growing demand for electronics-based medical equipment and sensors in the healthcare applications.

APAC will remain the largest region and it is also expected to witness the highest growth over the forecast period due to the growing adoption of IoT (internet of things), increasing installation of smart home devices, and growing industrial automation in countries, such as China, India, and Taiwan.

Story continues

Emerging trends, which have a direct impact on the dynamics of the artificial intelligence industry, include growing adoption of artificial intelligence in IoT applications and increasing demand for AI-enabled processors. Intel, IBM, Amazon, Facebook, NVIDIA, Apple, Microsoft, General Electric, and NEC Corporation and others are among the major artificial intelligence manufacturers.

Lucintel, a leading global strategic consulting and market research firm, has analyzed the global artificial intelligence market by end use industry, technology, product and service, and region and has come up with a comprehensive research report entitled "Growth Opportunities in the Global Artificial Intelligence Market 2020-2025: Trends, Forecast, and Opportunity Analysis." The Lucintel report serves as a catalyst for growth strategy as it provides a comprehensive data and analysis on trends, key drivers, and directions. The study includes a forecast for the global artificial intelligence market by end use industry, technology, product and service, and region as follows:

By End Use Industry [ $B shipment analysis from 2014 to 2025]:

By Technology [$B shipment analysis from 2014 to 2025]:

By Product and Service [$B shipment analysis from 2014 to 2025]:

By Region [$B shipment analysis for 2014 to 2025]:

North America

United States

Canada

Mexico

Europe

United Kingdom

France

Germany

Asia Pacific

The Rest of the World

This 206-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or click on this link helpdesk@lucintel.com.

About Lucintel

Lucintel, the premier global management consulting and market research firm, creates winning strategies for growth. It offers market assessments, competitive analysis, opportunity analysis, growth consulting, M&A, and due diligence services to executives and key decision-makers in a variety of industries. For further information, visit http://www.lucintel.com.

Brandon FitzgeraldLucintelDallas, Texas, USAEmail: brandon.fitzgerald@lucintel.comTel. 972.636.5056Cell: 303.775.0751

Related reports

Power over Ethernet Solution Market:

For more details click here https://www.lucintel.com/power-over-ethernet-solution-market.aspx

GPS Tracking Device Market:

For more details click here https://www.lucintel.com/gps-tracking-device-market.aspx

Hybrid Memory Cube (HMC) and High-Bandwidth Memory (HBM) Market:

For more details click here https://www.lucintel.com/hybrid-memory-cube-and-high-bandwidth-memory-market.aspx

Micro LED Market:

For more details click here https://www.lucintel.com/micro-led-market.aspx

Metal Terminal MLCC Market:

For more details click here https://www.lucintel.com/metal-terminal-mlcc-market.aspx

Augmented Reality and Virtual Reality Market:

For more details click here https://www.lucintel.com/augmented-reality-and-virtual-reality-market.aspx

Compound Semiconductor Market:

For more details click here https://www.lucintel.com/compound-semiconductor-market.aspx

Copper Clad Laminates Market:

For more details click here https://www.lucintel.com/copper-clad-laminates-market.aspx

Germanium Market:

For more details click here https://www.lucintel.com/germanium-market.aspx

Bonding Wire Packaging Material Market:

For more details click here https://www.lucintel.com/bonding-wire-packaging-material-market.aspx

SOURCE: Lucintel

View source version on accesswire.com: https://www.accesswire.com/630968/Opportunities-for-The-Global-Artificial-Intelligence-Market-to-Reach-70-Billion-By-2025

See the rest here:

Opportunities for The Global Artificial Intelligence Market to Reach $70 Billion By 2025 - Yahoo Finance

Stock Market SymbolsGIB (NYSE)GIB.A (TSX)www.cgi.com/newsroom

LONDON, Feb. 22, 2021 /PRNewswire/ -CGI (NYSE: GIB) (TSX: GIB.A) was awarded by the European Space Agency (ESA) a contract to develop a new wildfire mapping service that combines recent advances in Earth Observation (EO), Artificial Intelligence(AI) and cloud computing to help better map and monitor the impact of wildfires.

CGI and its project partner, the University of Leicester, is working with nationally mandated user organisationsfrom Australia (Geoscience Australia) and France (ONF France) to implement and demonstrate EO services based on their requirements for improved wildfire risk management. The consortium will evaluate a variety of AI algorithms that could help meet these requirements. It is expected that combining the machine learning capabilities of these AI algorithms with the increased availability of frequent, high quality satellite observations will allow better burnt area mapping products to be generated where and when users want them.

The resulting AI-enabled wildfire mapping service will be made available to Geoscience Australia and ONF France, as well as the wider environmental community, through the EO4SD Lab portal. This online data portal, which has been developed by CGI for ESA, utilises cloud computing to provide free access to a range of EO data, tools and services to the sustainable development and wider environmental community.

The recent extensive fire disasters in the USA, Southern Europe and Australia have shown both the environmental and human cost of wildfires. Climate change is contributing to more frequent wildfires, with studiesfinding a 19% increase in global mean fire weather season length between 1979 to 2013. Better monitoring and analysing of burnt areas is important to improve land management and help mitigate the impact.

Tara McGeehan, President at CGI in UK & Australia said: "We are excited to be part of this cutting edge project that brings to bear the potential of AI to help the scientific and environmental community to better understand the extent and impact of damaging wildfires throughout the world. Our ongoing partnership with ESA for EO and Thematic Exploitation Platforms is enabling rapid progress in monitoring the Earth's environment to support scientific research and government policy."

Kevin Tansey, Professor of Remote Sensing and Principal Investigator at the University of Leicester said: "After 20 years of research into the use of satellite data to measure burned area and severity from local to global scales, the opportunity to work with CGI and agency partners to develop new wildfire services is very exciting. I am further delighted that this project will be one of the first to be delivered out ofSpace Park Leicester, our new state-of-the-art, high-tech facility for research, development and manufacturing.".

CGI has been delivering complex, mission-critical spacesoftware systems for clients across Europe, Australia, Asia and North America for over 40 years, supporting satellite navigation, communications and operations, to space enabled applications. CGI's partner, the University of Leicester, have a wealth of experience within EO domain and are one of the leading academic institutions with the UK.CGI is a partner in the Manufacturing, Engineering, Technology and Earth Observation Centre (METEOR) at Space Park Leicester.

About CGIFounded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 76,000 consultants and other professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform theirorganizations and accelerate results. CGI Fiscal 2020 reported revenue is C$12.16 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB).Learn more atcgi.com

SOURCE CGI Inc.

http://www.cgi.com

More here:

European Space Agency selects CGI to develop services combining Artificial Intelligence and Earth Observation for Wildfire Mapping - PRNewswire

The National Science Foundation and Amazon teamed up to fund a second round of research projects aimed at promoting trustworthy artificial intelligence and mitigating bias in systems.

The latest cohort selected to participate in the Program on Fairness in AI include multi-university projects to confront structural bias in hiring, algorithms to help ensure fair AI use in medicine, principles to guide how humans interact with AI systems, and others that focus on education, criminal justice and human services applications.

With increasingly widespread deployments, AI has a huge impact on peoples lives, Henry Kautz, NSF division director for Information and Intelligent Systems, said. As such, it is important to ensure AI systems are designed to avoid adverse biases and make certain that all people are treated fairly and have equal opportunity to positively benefit from its power.

Kautz, whose division oversees the program, briefed Nextgov on the complexities that accompany addressing fairness in AIand the joint initiative NSF and Amazon are backing to help contribute to the creation of more trustworthy technological systems.

What is fair?

AI is already an invisible variable that touches many, crucial aspects of Americans lives. Uses range from helping facial recognition unlock smartphones to making recommendations about punishments judges should impose for criminal convictions. But theres still no universal guarantee that the rapidly evolving technology won't be harmful to certain people.

It is important to note that we are still trying to understand fairness, Kautz explained. And once we have a better understanding of the many facets of fairness, the challenge is not just to design AI systems that are as fair as people are, but to actually be even more fair and unbiasedsince we know people can make biased decisions, either implicitly or explicitly.

Mathematical definitions of fairness can hone in on the algorithmic outcomes of different groups using a statistical approach, he noted, so methods in that realm might look to ensure various metrics are consistent across different groups. From a social perspective, on the other hand, officials might consider how AI could improve fairness and equality across society. An AI system might be used to help determine a novel vaccination or food distribution method or the location of medical resources that users would not have thought of without the analysis from the system, Kautz noted. Or, in technical approaches to fairness, officials might consider the accountability of the users of an AI system and what information is needed to guarantee they feel confident that informed decisions can be made.

Thus, there are many ways to look at fairness in AI, and that is what NSF and Amazon are trying to do through this joint effort, Kautz said. We are making progress but are still in the early stages, where we need to understand the different aspects of fairness, in real-world settings, so that we can in turn understand how we can design our systems with fairness built into them.

Advancing Fair AI

NSF has been funding research to promote fairness in AI systems for some time, according to Kautz, while Amazon grasps the importance of building out systems designed with such approaches.

Given our mutual interest in this space, it seemed natural for NSF and Amazon to partner to leverage the resources and expertise that each organization brings, Kautz said, adding that the two intend to provide approximately $10 million each, for a total of about $20 million, over the three-year life of the program they cooperatively steer.

The first cohort came last year, this announcement marks the second, and another is anticipated to rollout in 2022.

Amazon does not play a role in the selection of proposals for the research grants, only NSF selects the awardees, Kautz confirmed.

Through the partnership, the research community submits proposals to NSF, which in turn uses its standard peer review process to identify meritorious proposals, he explained. Agency officials complete NSFs standard award process and provide grants to those chosen while Amazon separately sends its funding contributions. The company additionally offers consultation to the researchers who receive awards.

The response to the solicitations has grown, indicating growing importance and interest in the research community in addressing fairness in AI since the programs inception, Kautz added. The award topics have also broadened, and now include projects in natural language processing, computer vision, and applications to criminal justice.

But what hasnt changed is the efforts overall aim and potential to help scientists push forward toward new technical breakthroughs, accelerate the transition of their research results from laboratories to practiceand train the next generation of researchers and practitioners, which Kautz deemed another dimension that is really important to NSF.

We all appreciate there is a real need for competencies in AI across all sectors of our economy. Providing students studying fairness in AI with exposure to industry, and the problems that they are facing, is one way to develop and nurture talent that our research ecosystem is going to need going forward, he said. Finally, students participating in this programs projects may get exposure to future job opportunities as a result of Amazons engagement.

RELATED PODCAST

More:

How NSF and Amazon Are Collectively Tackling Artificial Intelligence-Based Bias - Nextgov

What if a groundbreaking technology designed to gather and channel contemporary insights from the worlds most brilliant leaders Churchill, Gandhi, Lincoln took a sharp detour and exposed long buried secrets of its creator and his family? In his debut novel, Scarsdale author Marc Sheinbaum explores that possibility.

In Memories Live Here, Sheinbaum writes about what happens when an artificial intelligence project known as CHERL (Computerized Human Experienced as Real Life) and a cybersecurity breach lead to the near downfall of A.I. engineer Josh Brodsky and his two brothers. In their search for the source of CHERLs ransomware they unearth decades-old revelations about their late parents.

Sheinbaum drew some of his knowledge of A.I. from his days as an IT consultant at PricewaterhouseCoopers, and his exposure to neural networks (algorithms that mimic the operations of a human brain) that identify fraud in finance while working in risk management at GE Capital.

He describes Memories Live Here as not so much a hard science fiction novel, as it is a mystery thriller about a dysfunctional family.

I did a lot of searching around the web and conversations with subject matter experts, but mostly on broad concepts rather than the detailed science, Sheinbaum said. Luckily, I didnt have to do too much research on the dysfunctional family part. But well get to that later.

There are those who would think our government would learn a great deal from historys greatest leaders, said Sheinbaum, but I was drawn to the more personal story. What deceased person would you speak to from your own family? From your own past? And could A.I. uncover skeletons in the closet? Secrets we never knew, that we never realized had such a great impact on our lives and shaped who we became? Thats the story I really wanted to explore, but with the pulse of a fast-paced mystery thriller.

As with many second act novelists, Sheinbaum put his early affinity for creative writing on hold while pursuing a 35-year career in finance at corporations like JPMorgan Chase and American Express. After retiring, he enrolled in a writers workshop.

We were given simple prompts and 20 minutes, where we were told to write whatever comes to mind and well share your work. Talk about feeling exposed! Sheinbaum said. Before I knew it, I had two full pages in front of me. The concepts within Memories Live Here came from one of those early prompts, a riff from that one sentence that kept going.

Sheinbaum cites a combination of influences on his writing, like author Michael Crichton (Jurassic Park) and an array of mysteries that dig up family secrets.

Like the brothers in the book, Sheinbaum grew up in Sheepshead Bay, a neighborhood in Brooklyn, but said there are only limited similarities to his own life. Its not autobiographical at all, but of course I mined my own experiences when creating the characters within this family, he said. Luckily, I have a good relationship with my brother, but there was plenty of friction between my parents.

Sheinbaum admits that writing the story was somewhat cathartic. In a way, I gave my parents a voice, to portray one possible explanation, he said. Even though it wasnt their story, or my story, it could have been.

A father of two grown children, Sheinbaum graduated from State University of New York at Albany, where he majored in business administration, and NYU, where he earned an MBA. He and his wife are empty nesters who lived in Chappaqua and Ardsley before moving to Scarsdale in 2018.

In the book, Sheinbaums dedication reads, Its never too late, which, he says, carries a double meaning. Obviously, its never too late to pursue your dreams. But in terms of the story, its also never too late to try to understand, or to let go of the things that can be destructive in our lives, and to forgive. I hope thats a piece of what all readers take away from the story.

See the article here:

What were they thinking?: Where artificial intelligence meets family dysfunction - scarsdalenews.com

Strawberries can be easy to grow especially, it seems, if you're an algorithm.

When farmers in China competed to grow the fruit with technology including machine learning and artificial intelligence, the machines won, by some margin.

Data scientists produced 196% more strawberries by weight on average compared with traditional farmers.

The technologists also outperformed farmers in terms of return on investment by an average of 75.5%

The inaugural Smart Agriculture Competition was co-organized by Pinduoduo, China's largest agri-focused technology platform, and the China Agricultural University, with the Food and Agriculture Organization of the United Nations as a technical adviser.

Teams of data scientists competed over four months to grow strawberries remotely using Internet of Things technology coupled with artificial intelligence (AI) and machine learning-driven algorithms.

In the competition, the technology teams had the advantage of being able to control temperature and humidity through greenhouse automation, the organizers said. Using technology such as intelligent sensors, they were also more precise at controlling the use of water and nutrients. The traditional farmers had to achieve the same tasks by hand and experience.

One of the teams, Zhi Duo Mei, set up a company to provide its technology to farming cooperatives after it generated a lot of interest during the competition.

The contest helped the traditional farmers and the data scientists better understand each other's work and how they could collaborate to everyone's advantage, the leader of the Zhi Duo Mei team, Cheng Biao, said.

Pinduoduo

Numerous studies show the potential for Fourth Industrial Revolution technologies like AI to boost economic growth and productivity.

By 2035, labour productivity in developed countries could rise by 40% due to the influence of AI, according to analysis from Accenture and Frontier Economics.

Sweden, the US and Japan are expected to see the highest productivity increases.

In its Future of Jobs Report 2020, the World Economic Forum estimates that by 2025, 85 million jobs may be displaced by a shift in the division of labour between humans and machines, while 97 million new roles may emerge that are more adapted to the new division of labour between humans, machines and algorithms.

Emerging technologies including AI and drones will also play a vital role in helping the world recover from COVID-19, according to a separate Forum report compiled with professional services firm Deloitte.

The Global Technology Governance Report 2021 considers some of the most important applications for these technologies and the governance challenges that should be addressed for these technologies to reach their full potential.

Reprinted with permission of the World Economic Forum. Read the original article.

From Your Site Articles

Related Articles Around the Web

Read this article:

Here's what happened when AI and humans met in a strawberry-growing contest - Big Think

Among the most significant technological advances of the last few decade, artificial intelligence (AI) and robotics, have the potential to revolutionize the restaurant industry. Already automation is making its way into fast food kitchens, where its taking on repetitive tasks such as flipping burgers and working the fry station.

AI, the smart technology that powers robocalls and helps forecasting models to predict the weather, may also soon play a role in the food service industry, not just by taking on simple tasks but also by dealing with higher order responsibilities like ordering food and writing menus.

OpenAI, a San Francisco-based software company that develops and deploys artificial general intelligence (AGI), recently put its GPT-3 software to the test. GPT-3 is a third generation, deep learning language model that draws upon information it finds anywhere on the internet to develop answers to user queries.

OpenAI put GPT-3 to the test by asking it to develop recipes based on simple language requests like beef bourguignon and Mexican lasagna. The recipes GPT-3 compiled were then prepared and evaluated by a group of volunteers. Well-known recipes developed by the likes of Julia Child, Wolfgang Puck, and Rachael Ray served as benchmarks for the evaluators.

Though GPT-3 produced some interesting results, its recipes, with one exception, were not scored as high as those developed by human chefs.

Nonetheless, the study illustrated AIs potential to take over higher order tasks like menu development and recipe creation. Thus the day might not be very far off when the product development chef at a restaurant chain is actually a piece of AI software.

For the full report on OpenAIs AI vs. Famous Chef Recipes culinary challenge, go to refluxgate.com/ai-vs-famous-chef-recipes.

Winter is a season during which restaurants have traditionally promoted game dinners. This year, given the unique circumstances under which we are all living our lives, those sorts of events arent easy to put together.

Delaneys Market has developed a strategy by which the Log Cabin-Delaney Group can deliver a socially-distanced game dinner experience.

Delaneys Market locations will be featuring a Game Dinner at Home this month. The four-course meal includes bison meatballs, a venison hunters stew, a wild pheasant turnover, and a wildberry cobbler with whipped cream.

Each take-home package is designed to serve two, and Delaneys Market is providing a cooking video to help those receiving the package finish the meal preparation.

Contact one of the three Delaneys Market locations - Longmeadow, Westfield, or Wilbraham - on Wednesday, Feb. 17 to order the Game Dinner package, which will be ready for pickup on Saturday, Feb. 20.

Pancake Sundaes Diner and Bakery in Westfield, a family-owned breakfast and lunch restaurant, has been turning out its own unique style of morning food since it opened in 2015.

Run by the husband-and-wife team of Frank and Shelly Baldwin, Pancake Sundaes is currently limiting its operation to Saturdays and Sundays from 7 a.m. to 1:30 p.m.

Pandemic-constrained operating hours arent curbing Frank Baldwins creativity, however. Every weekend he puts together an inventive menu of breakfast specialties to supplement Pancake Sundaes basic repertoire.

Offerings can include the likes of bacon-chocolate chip pancakes, apple crisp French toast, and Baldwins Dirty Philly omelet thats filled with shaved ribeye, sauteed onions, and fried peppers.

Theres usually an exhaustive list of eggs Benedict variations; homemade corned beef hash and crispy Homies are menu regulars. Each weekends specials can be found on Pancake Sundaes Facebook page, Facebook.com/pancakesundaes.

The restaurant, which is currently offering limited indoor dining as well as contactless to-go service, answers at (413) 572-6832.

Maxs Tavern at the Naismith Memorial Basketball Hall of Fame in Springfield will be presenting its winter food and wine pairing dinner, Cabs & Slabs, on Thursday, Feb. 25.

The dinner this year is different from past such events. In addition to Napa Valley Cabernet varietals, the Cabs include a Washington State vintage by Canvasback Winery of Red Mountain, WA.

Maxs Tavern Chef Nathaniel Waugamans menu for the evening has a game dinner sensibility, featuring Wagyu beef tartare, braised wild boar shank, Denver lamb ribs, and a grilled bison strip loin.

The five-course menu will also include a chocolate raspberry mousse bar for desert.

Reservations for the dinner are available from 5:30 p.m. on through the evening. Cost to attend is $115 per person, not including tax or gratuity.

Call (413) 746-6299 for reservations.

The Munich Haus German Restaurant in Chicopee will be featuring a Valentines Dinner menu on Feb. 12-14.

Available as either a dine-in or a take-home option, the menu includes an appetizer, a choice of any two schnitzel or chicken entrees with side dishes and salad, and a house-made dessert (either red velvet cheesecake or a Black Forest cake heart) to share.

Upgrades are available, including a sausage sampler, salmon filet, or filet mignon option. Selected wines by the bottle are also available.

Reservations for on-premises dining are required, and take-home packages must be pre-ordered. Contact the Munich Haus German Restaurant at (413) 594-8788 for more information.

February limited-time offerings at participating Dunkin locations are, not surprisingly, Valentines Day-themed.

The chain is offering two heart-shaped donut selections - a brownie batter donut filled with brownie-flavored buttercream and a Cupids choice donut filled with Bavarian kreme and iced with pink, strawberry-flavored icing.

Featured beverages this month include a mocha macchiato and a pink velvet macchiato that features red velvet flavoring. Both drinks are available either hot or iced.

Participating McDonalds restaurants are spicing up mid-winter by bringing back Spicy Chicken McNuggets, a menu item that was last featured in Fall 2020.

Mighty Hot Sauce, spicy, garlicky, and slightly sweet, will also be around for the duration of this limited time only offering.

The Spicy McNuggets feature a tempura-style coating enlivened with cayenne and chile pepper. Pricing is the same as for the chains regular McNuggets items.

Partners Restaurant in Feeding Hills will be hosting dinner by candlelight on Valentines Day weekend. For dine-in purposes Mark and Sue Tansey have put together a special prix-fixe, four-course dinner for Friday and Saturday evenings, Feb. 12 and 13. Three dinner to-go packages will also be available.

The dine-in menu, which will be available from 5 p.m. to 9 p.m. both evenings, includes a choice from among five entree options: braised short ribs, grilled salmon, chicken saltimbocca, ricotta ravioli, and filet mignon Oscar. Reservations are required for socially-distanced, on-premises dining.

Finish-at-home dinners include short ribs, chicken saltimbocca, or seafood casserole; sides, salad, and a dessert selection are included. Takeout orders must be placed by Thursday, Feb. 11.

More details on these special Valentines Day offerings can be found at the restaurants Facebook page, facebook.com/Partners.RestaurantCatering

Partners Restaurant answers at (413) 786-0975.

Chez Josef in Agawam is offering a delivery or pickup date night this year in the form of a Valentines Dinner for Two To-Go.

The all-inclusive, heat @ home package include a selection of hors doeuvres, a salad course, and a choice of two entrees.

Main course selections include filet mignon, parmesan chicken breast, seared sea bass, or lentil-stuffed sweet pepper. A surf and turf upgrade is also available. Dessert is part of the take-home package, as is a bottle of house wine.

In addition Chez Josef is offering individual meal selections as well as a brunch box that can be customizes to serve either two or four.

Curbside pickup is available at Chez Josefs Agawam location; local delivery is also available. An online ordering platform is available at linktr.ee/chez2go; questions about menus, pricing, and delivery area can also be phoned in to (413) 355-5393.

Hugh Robert is a faculty member in Holyoke Community Colleges hospitality and culinary arts program and has nearly 45 years of restaurant and educational experience. Robert can be reached on-line at OffTheMenuGuy@aol.com.

See the original post:

Off The Menu: Artificial intelligence lends hand in recipe development - MassLive.com