Are you a junior researcher with the potential to become a world-class machine learning scientist? Apply to become a Vector Institute Postdoctoral Fellow and conduct cutting-edge fundamental research in machine learning and deep learning algorithms and their applications. Postdoctoral fellows at the Vector Institute are junior researchers with the potential to become world-class researchers. Like postdoctoral researchers in a University lab, postdoctoral fellows at the Vector Institute are tasked with and supported in carrying out state-of-the-art research, publishing at the highest international level, and contributing to the academic life and reputation of the Institute. In addition, postdoctoral fellows at the Vector Institute have access to the resources of a well-funded institute dedicated solely to machine learning and deep learning, and are encouraged to work with any of our over 25 world-class faculty in machine learning and deep learning, though they will typically work primarily with 1–2 faculty members.
Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of the 2018 ACM A.M. Turing Award for his work in deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA). Geoffrey Hinton: Geoffrey Everest HintonCCFRSFRSC (born 6 December 1947) is an English Canadiancognitive psychologist and computer scientist, most noted for his work on artificial neural networks. Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto.
Yoshua Bengio, who last month won the prestigious Turing award, alongside Geoffrey Hinton and Yann LeCun, for his work on AI, is worried about what the technology is being made into behind closed doors. In an interview with Nature, he explains his concerns, but takes care to avoid sounding like a doomsayer. A professor at the Montreal Institute for Learning Algorithms, his main concern is not a particular nightmare scenario but simply that AI is being pursued by people who have few controls in place. "A lot of what is most concerning is not happening in broad daylight," he said. This we have certainly seen, with all the major tech companies in one way or another providing or considering government and military work, from the benign to the clearly conflict-oriented.
And the consultation is completely private. It's all thanks to open-source AI that runs inside your web browser–or what happens when insurance companies and big pharma stop making the rules of healthcare, and the age of WebMD self-diagnosis is supercharged with machine learning. The Chester AI radiology assistant was developed in work led by Joseph Paul Cohen, a postdoctoral fellow at Mila (the Quebec AI institute) and the University of Montreal. He used an NIH dataset of chest X-rays and diseases to train software to spot diseases in these scans. Though he is not a clinical doctor, Cohen is focused on the intersection of health and deep learning.
The 2018 Turing Award, known as the "Nobel Prize of computing," has been given to a trio of researchers who laid the foundations for the current boom in artificial intelligence. Yoshua Bengio, Geoffrey Hinton, and Yann LeCun -- sometimes called the'godfathers of AI' -- have been recognized with the $1 million annual prize for their work developing the AI subfield of deep learning. The techniques the trio developed in the 1990s and 2000s enabled huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current proliferation of AI technologies, from self-driving cars to automated medical diagnoses. In fact, you probably interacted with the descendants of Bengio, Hinton, and LeCun's algorithms today -- whether that was the facial recognition system that unlocked your phone, or the AI language model that suggested what to write in your last email.
Promotional artwork for the upcoming video game, 'Destiny's Sword,' in which your characters' mental health are as important as their strengths and weaponry. Most combat video games stress tactics and firepower, but in the upcoming sci-fi strategy game "Destiny's Sword" you will also want to take into account your bedside manner. The online role-playing computer game from Ontario, Canada, studio 2Dogs Games puts players in the role of a squadron commander in a futuristic faction war. Scores of players can compete online – think "World of Warcraft" mashed up with the movie "Starship Troopers." But there's another unique twist: As you direct your troops, their experiences in combat will affect each character differently – that, in turn, influences their effectiveness in subsequent battles.
The Montreal Institute for Genocide and Human Rights Studies (MIGS) is organizing the Human Rights and Artificial Intelligence Forum on April 5. The event will take place at Concordia's 4TH SPACE, an innovative and immersive venue for state-of-the-art installations, which will permit leading experts from around the world to gather to discuss this emerging technology's implication for human rights. MIGS has convened thought leaders and practitioners with the goal of understanding how new technologies are disrupting global affairs. MIGS has worked with Global Affairs Canada and Tech Against Terrorism to explore how artificial intelligence (AI) can counter online extremism and how non-state actors might use AI for nefarious purposes. MIGS has also presented work on AI at the Hague Digital Diplomacy Camp organized by the Dutch Foreign Ministry.
British-born artificial intelligence (AI) expert Geoffrey Hinton has won the Turing Award, sometimes referred to as "the Nobel Prize of computing". Mr Hinton, who now lives in Canada, shares the award with Yoshua Bengio and Yann LeCun - two other proponents of deep learning, a popular form of AI. "The three of us have been the people who most believed in this approach," he told BBC News. "It's very nice to be recognised now that it is fashionable." A deep neural network uses many layers of artificial neurons, loosely mimicking the structure of animal brains. Such AI is increasingly used in products that people use every day - from smart speakers to Facebook.
In the late 1980s, Canadian master's student Yoshua Bengio became captivated by an unfashionable idea. A handful of artificial intelligence researchers was trying to craft software that loosely mimicked how networks of neurons process data in the brain, despite scant evidence it would work. "I fell in love with the idea that we could both understand the principles of how the brain works and also construct AI," says Bengio, now a professor at the University of Montreal. More than 20 years later, the tech industry fell in love with that idea, too. Neural networks are behind the recent bloom of progress in AI that has enabled projects such as self-driving cars and phone bots practically indistinguishable from people.
This copy is for your personal non-commercial use only. To order presentation-ready copies of Toronto Star content for distribution to colleagues, clients or customers, or inquire about permissions/licensing, please go to: www.TorontoStarReprints.com The University of Toronto has received its largest ever donation, a $100-million gift to further the school's research on artificial intelligence. The donation from the Gerald Schwartz and Heather Reisman Foundation will in part go to a new 750,000-square-foot complex to be built at the northeast corner of College St. and Queen's Park starting this fall, school President Meric Gertler announced at a Monday news conference. The money will also help launch the Schwartz-Reisman Institute for Technology and Society. Gertler said the gift will help spark Canadian innovation and examine how technology shapes people's lives.