Canada


Machine Learning for Quantum Design

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In this talk I will discuss some of the long-term challenges emerging with the effort of making deep learning a relevant tool for controlled scientific discovery in many-body quantum physics. The current state of the art of deep neural quantum states and learning tools will be discussed in connection with open challenging problems in condensed matter physics, including frustrated magnetism and quantum dynamics. Variational algorithms for a gate-based quantum computer, like the QAOA, prescribe a fixed circuit ansatz --- up to a set of continuous parameters --- that is designed to find a low-energy state of a given target Hamiltonian. After reviewing the relevant aspects of the QAOA, I will describe attempts to make the algorithm more efficient. The strategies I will explore are 1) tuning the variational objective function away from the energy expectation value, 2) analytical estimates that allow elimination of some of the gates in the QAOA circuit, and 3) using methods of machine learning to search the design space of nearby circuits for improvements to the original ansatz.


Artificial Intelligence Game Talk, University of Alberta, Hex and Chess

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U of Alberta created the first Computing Science department in Canada in 1964. It has a long tradition of research in AI (is rated 3rd in the world in machine learning). It has also led in the development of AI for strategy games. The results can be commercialized in non-game applications as well. Among these are Checkers, Chess, Go and Poker, The evening's talks were by Jonathan Schaeffer (computer chess) and Ryan Hayward (the strategy game Hex).


World Environment Day: How Can We Use AI To Save The Planet?

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As humans, it is our responsibility to take care of the planet. It is our home, and the way we treat the environment has everlasting impacts on future generations. Over the centuries as we have moulded and manipulated natural resources, we have created some life-changing technologies, but have also created environments that have negative ramifications to our planet. We have the opportunity to act now for a positive change and transform the land, seas and air by acting responsibly with social and environmental growth at the core. This World Environment Day, we're taking a look at how some global AI experts are leveraging technology for positive social impact to benefit the environment and the world.


KHIPU LATIN AMERICAN MEETING IN ARTIFICIAL INTELLIGENCE

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Yoshua Bengio is a Professor at the University of Montreal, and the Scientific Director of both Mila (Quebec's Artificial Intelligence Institute) and IVADO (the Institute for Data Valorization). He is Co-director (with Yann LeCun) of CIFAR's Learning in Machines and Brains program. Bengio received a Bachelor's degree in electrical engineering, a Master's degree in computer science and a Doctoral degree in computer science from McGill University. Bengio's honors include being named an Officer of the Order of Canada, Fellow of the Royal Society of Canada and the Marie-Victorin Prize. His work in founding and serving as Scientific Director of the Quebec Artificial Intelligence Institute (Mila) is also recognized as a major contribution to the field.


Artificial intelligence is at the heart of online toxicity, Grand Committee hears

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Artificial intelligence is playing a major role in exacerbating the problems being blamed on large digital platforms such as a Facebook Inc. and Google LLC, according to a U.S. expert who testified before the International Grand Committee on Big Data, Privacy and Democracy meeting in Ottawa this week. Ben Scott, a Stanford fellow at the Centre for Internet and Society and a former advisor to Hillary Clinton, said that it wasn't until the tech giants got hooked on machine learning that concerns about their polarizing effect and impact on democracy really took off. "It's not just the ads that get targeted. The entire communications environment in which we live is now tailored by machine intelligence to hold our attention," he said. "The more time people spend on the platform, the more ads they see and the more money they make. It's a beautiful business model, and it works."


AI Could Predict Cognitive Decline Leading to Alzheimer's Disease in the Next 5 Years

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A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer's disease. Dr. Mallar Chakravarty, a computational neuroscientist at the Douglas Mental Health University Institute, and his colleagues from the University of Toronto and the Centre for Addiction and Mental Health, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual's cognitive faculties are likely to deteriorate towards Alzheimer's in the next five years. "At the moment, there are limited ways to treat Alzheimer's and the best evidence we have is for prevention. Our AI methodology could have significant implications as a'doctor's assistant' that would help stream people onto the right pathway for treatment. For example, one could even initiate lifestyle changes that may delay the beginning stages of Alzheimer's or even prevent it altogether," says Chakravarty, an Assistant Professor in McGill University's Department of Psychiatry.


Computers are learning to read our feelings from our faces. Soon, we may not be able to hide our worst thoughts

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Thousands of academics are gathering in Vancouver for the annual Congress of the Humanities and Social Sciences from June 1-7. They will present papers on everything from child marriage in Canada to why dodgeball is problematic. It's been the edict of parents, teachers and etiquette experts since time immemorial: Not every thought that pops into your head needs to come out of your mouth. Discretion helps hold our society together. We don't tell each other how we really feel.


Ford government slashes funding to research institutes focused on artificial intelligence The Star

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"Without CIFAR, Canada would not be a leader in global AI research and I would never have moved here," said Geoffrey Hinton, one of the "godfathers" of artificial intelligence. Hinton is a longtime CIFAR fellow and the chief scientific adviser of the Vector Institute. "CIFAR played a critical role in supporting my work and deserves credit for funding many of Canada's biggest breakthroughs in artificial intelligence research. Providing adequate resources for basic curiosity-driven research is essential for attracting and retaining leading researchers here in Canada. It was essential in establishing Canada's position as a world leader in AI, and it remains the key to driving Canada's future leadership in this field."


Dawson College poised to transform college education with major investment in AI project

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MONTREAL, June 4, 2019 /CNW Telbec/ - Today's students are graduating into a world that is in a significant state of transformation due to developments in Artificial Intelligence (AI) and related information technologies. "Our current and future students are the ones who will be facing these challenges and opportunities when they enter university or the work force. We are committed to offering new, updated and upgraded classes and learning opportunities to help prepare our students adequately," said Richard Filion, Director General of Dawson College. As a sign of that commitment to its students, Dawson College has decided to make an investment of over a million dollars in a comprehensive Artificial Intelligence initiative, the largest investment in an AI project by a cégep in Quebec. Today the College announced that a three-year strategic plan for the academic years 2019-2022 has been adopted and that $1,050,000 has been budgeted for its implementation, hoping to establish Dawson College as the centre of excellence in AI in college education.


What Are Some of the Ethical Concerns of Artificial Intelligence?

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In this video, Entrepreneur Network partner Mars Discovery District speaks with Frank Rudzicz of the University of Toronto about artificial intelligence (AI) and some of its ethical concerns. For example, access to AI is not always equal. Rudzicz also questions who is able to store the machines necessary to allow AI to function and which parties are able to afford these bigger, faster machines. Artificial intelligence can also reflect human biases, but it may also change its behavior in ways humans wouldn't expect. To hear more about the intracies of artificial intelligence, click the video.