The ultimate achievement to some in the AI industry is creating a system with artificial general intelligence (AGI), or the ability to understand and learn any task that a human can. Long relegated to the domain of science fiction, it's been suggested that AGI would bring about systems with the ability to reason, plan, learn, represent knowledge, and communicate in natural language. Not every expert is convinced that AGI is a realistic goal -- or even possible. Gato is what DeepMind describes as a "general-purpose" system, a system that can be taught to perform many different types of tasks. Researchers at DeepMind trained Gato to complete 604, to be exact, including captioning images, engaging in dialogue, stacking blocks with a real robot arm, and playing Atari games. Jack Hessel, a research scientist at the Allen Institute for AI, points out that a single AI system that can solve many tasks isn't new.
Machine-learning algorithms that can predict reaction yields have remained elusive because chemists tend to bury low-yielding reactions in their lab notebooks instead of publishing them, researchers say. 'We have this image that failed experiments are bad experiments,' says Felix Strieth-Kalthoff. 'But they contain knowledge, they contain valuable information both for humans and for an AI.' Strieth-Kalthoff from the University of Toronto, Canada, and a team around Frank Glorius from Germany's University of Münster are asking chemists to start including not only their best but also their worst results in their papers. This, as well as unbiased reagent selection and reporting experimental procedures in a standardised format, will allow researchers to finally create yield-prediction algorithms. Retrosynthesis is already using machine-learning models to create shorter, cheaper or non-proprietary synthetic routes. But there have been few attempts at creating programs that predict yields.
In support of the Alberta Technology and Innovation Strategy (ATIS) and in partnership with AltaML, a leading Canadian artificial intelligence company, the AI lab (named GovLab.ai) AltaML will work alongside government staff and post-secondary students and graduates as they work to develop smart products and models that leverage AI to solve complex, real-world problems. The lab will create opportunities for Alberta's public and private sectors to create intellectual property while accelerating Alberta's recovery and economic diversification. "Alberta is a world leader in AI and machine learning research. With the launch of GovLab.ai, Ultimately this will help Alberta's government offer better services, better results and better value to Albertans."
Thirteen university students from across Canada are in Ottawa to put their artificial intelligence skills to the test. It's called the Amazon Web Services DeepRacer League, where small 1/18th scale cars are being trained to complete a racetrack as fast as possible, by themselves. "It has major components in order to do the autonomous driving," says Amanda Foo, DeepRacer Senior Technical Program Manager. They are driven by what is called reinforcement learning. "It's just like training a dog," Carleton University mechanical engineering student Masoud Karimi says.
"With AI, we can really target and segment who gets what message and based on previous purchases and viewing habits. We can see how we can customize our messaging," Park said. An example of this AI-driven marketing approach is the way the chain -- which has some 2,000 locations in the U.S., Canada and Europe -- targets the 27 million loyalty rewards members who have downloaded its mobile app. Chipotle uses recommendation algorithms to send notifications to users of the app about deals tailored to the different foods they've ordered before, therefore improving their customer experience, according to the company. Chipotle also uses AI to improve customer service.
Federal minister and Moncton-Riverview-Dieppe MP Ginette Petitpas Taylor announced the investment from the Atlantic Canada Opportunities Agency (ACOA). The funding will allow the university to acquire computer equipment and tools and to create a new professional master's program in artificial intelligence and data science. An Atlantic Centre of Excellence in Artificial Intelligence and Data Management (PLEIADE) will also be established which will aim to find internships and research projects for students with the help of external partners. "Through this announcement, we expect to be able to attract talent into various already existing programs and meet society's needs in artificial intelligence, data science, robotics, by offering training entirely in French," says U de M president and vice-chancellor, Dr Denis Prud'homme. This training will not be limited to traditional students since the institution also plans to create microprograms for people in the labour market.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Mattea Roach, a tutor from Toronto, Canada, had won $560,983 over the course of her winning streak. This image released by Sony Pictures Television shows Mattea Roach, a 23-year-old Canadian contestant on the game show "Jeopardy!" Heading into the final round of Friday's match, Roach was leading with $19,200 and wagered $3,001 on the Final Jeopardy question.
The Canada Pavilion will be prepared at the '5th International Artificial Intelligence Exhibition (AI EXPO KOREA 2022)' and communicate with domestic companies and institutions through innovative artificial intelligence technology. Under the supervision of the Trade Commissioner Service of the Canadian Embassy in Korea, the'AI Expo Korea 2022 Canada Pavilion' will be operated with a delegation of Canadian AI companies to promote the Canadian artificial intelligence and information and communication technology (ICT) industry. The embassy said, "We plan to host a B2B event between domestic companies and Canadian AI companies, and we plan to create a forum for cooperation opportunities such as introducing Canadian companies and arranging meetings for domestic companies that want to meet with Canadian companies. Let's summarize the solutions of each company that can be seen at the'Canada National Pavilion' of AI Expo Korea 2022 and what each company wants to inform through this ...
Welcome to Pushing Buttons, the Guardian's gaming newsletter. If you'd like to receive it in your inbox every week, just pop your email in below – and check your inbox (and spam) for the confirmation email. There's been an interesting development in the games business this week: Square Enix, the Japanese company behind Final Fantasy, has sold off basically its entire North American business for $300m. Swedish entrepreneur collective Embracer Group, a relative newcomer in gaming, is now the proud owner of studios in Montreal the US, and properties like Deus Ex, Thief and, of course, Tomb Raider. Not too long ago, this would have felt like big news purely because of the money involved.
As more and more organizations develop and implement Artificial Intelligence (AI) or Machine Learning (ML) applications, questions about the reliability of the results are increasing. Some high-profile AI/ML lapses risk giving this technology a bad name. The related media reports have created nervousness among CIOs and senior management. Real-world examples that have undermined society's confidence in AI/ML applications include: To avoid potentially thorny issues and headlines that damage the organization's reputation, CIOs and senior management need a way to assess the design and performance of their AI/ML applications. "Our members and other organizations have indicated that our standard has helped them incorporate responsible AI into their AI/ML applications," says Keith Jansa, the Executive Director of the CIO Strategy Council (CIOSC)." The CIOSC is a not-for-profit corporation providing a forum for members to transform, shape and influence the Canadian information and technology ecosystem, and is a Standards Development Organization (SDO) accredited by the Standards Council of Canada (SCC). "Our public and private sector members see value in our standards in part because of the strength of our process," says Keith Jansa. "We provide a neutral forum for standards development work using a consensus-based process that brings together a range of stakeholders and is accredited by the SCC." The CIOSC accreditation confers acceptance of the World Trade Organization (WTO) Technical Barriers to Trade (TBT) Annex 3 Code of Good Practice for the Preparation, Adoption and Application of Standards by Standardizing Bodies. That provides end-users assurance that the "Ethical design and use of automated decision systems" standard was developed using best practices."