Daily Archives: February 25, 2021

Researchers are working on combining the technologies to create realistic 2D avatars of people who can interact in real time, showing emotion and making context-relevant gestures. A Samsung-associated company called Neon has introduced an early version of such avatars, though the technology has a long way to go before it is practical to use.

Such avatars could help revolutionize education. Artificial intelligence researchers are already developing A.I. tutoring systems that can track student behavior, predict their performance and deliver content and strategies to both improve that performance and prevent students from losing interest. A.I. tutors hold the promise of truly personalized education available to anyone in the world with an Internet-connected device provided they are willing to surrender some privacy.

Having a visual interaction with a face that expresses emotions, that expresses support, is very important for teachers, said Yoshua Bengio, a professor at the University of Montreal and the founder of Mila, an artificial intelligence research institute. Korbit, a company founded by one of his students, Iulian Serban, and Riiid, based in South Korea, are already using this technology in education, though Mr. Bengio says it may be a decade or more before such tutors have natural language fluidity and semantic understanding.

There are seemingly endless ways in which artificial intelligence is beginning to touch our lives, from discovering new materials to new drugs A.I. has already played a role in the development of Covid-19 vaccines by narrowing the field of possibilities for scientists to search to picking the fruit we eat and sorting the garbage we throw way. Self-driving cars work, theyre just waiting for laws and regulations to catch up with them.

Artificial intelligence is even starting to write software and may eventually write more complex A.I. Diffblue, a start-up out of Oxford University, has an A.I. system that automates the writing of software tests, a task that takes up as much as a third of expensive developers time. Justin Gottschlich, who runs the machine programming research group at Intel Labs, envisions a day when anyone can create software simply by telling an A.I. system clearly what they want the software to do.

I can imagine people like my mom creating software, he said, even though she cant write a line of code.

Craig S. Smith is a former correspondent for The Times and hosts the podcast Eye on A.I.

View original post here:

A.I. Is Everywhere and Evolving - The New York Times

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...