Artificial intelligence approach called GANs (Generative Adversarial Networks) is used to create new, synthetic data that is similar to a training dataset. They are made up of a generator and a discriminator neural network. The discriminator seeks to separate the synthetic data from the actual training data, while the generator tries to produce synthetic data comparable to the training data. The two networks are simultaneously trained, and while the generator attempts to provide data that can trick the discriminator, it gets better over time. Numerous types of synthetic data, including images, audio, and text, have been produced using GANs.

At RE•WORK, we are strong advocates for supporting women working towards advancing technology, so ahead of the upcoming Toronto AI Summit, on November 9-10, we set out to highlight inspirational women who are working at the forefront of AI developments, and who deserve recognition for their achievements. While we set out to create a list of just 20 – we couldn't narrow it down, as there are so many inspiring and prominent females in this space! Hear from many of them at our Toronto AI Summit, and more at our Women in AI Reception, both being held in Toronto next month. Help us to continue highlighting leading women in AI by nominating your influential woman for our next edition. RE•WORK holds Women in AI events, podcasts, and blogs.

At RE•WORK, we are strong advocates for supporting women working towards advancing technology, so ahead of the upcoming Toronto AI Summit, on November 9-10, we set out to highlight inspirational women who are working at the forefront of AI developments, and who deserve recognition for their achievements. While we set out to create a list of just 20 – we couldn't narrow it down, as there are so many inspiring and prominent females in this space! Hear from many of them at our Toronto AI Summit, and more at our Women in AI Reception, both being held in Toronto next month. Help us to continue highlighting leading women in AI by nominating your influential woman for our next edition. RE•WORK holds Women in AI events, podcasts, and blogs. Get in touch if you'd like to collaborate or support our initiatives! Doina Precup is a researcher living in Montreal, Canada.

You might not notice it, but you've likely adopted artificial intelligence into your daily life. It can be as simple as personalizing your news feeds, searching for products on shopping sites or voice-to-text conversion on smartphones. It can also be applied to more sophisticated tasks like predicting court outcomes in cases involving employment law or used for robotic welding applications. The transformative power of AI is also an economic growth driver, which is why the Canadian government has given the green light to advancing the country's AI strategy. According to a recent announcement from Minister of Innovation, Science and Industry François-Philippe Champagne, more than $443 million in Budget 2021 is designated for the second phase of the pan-Canadian Artificial Intelligence Strategy.

Dr. Alan Bernstein is president and CEO of CIFAR and was the founding president of the Canadian Institutes of Health Research (CIHR) during the SARS epidemic As president of the Canadian Institutes of Health Research (CIHR) in 2003 when an earlier coronavirus, SARS-CoV-1, swept through Canada, I had a unique vantage point from which to view Canada's response to an unprecedented threat to public health. Today, as I watch Canada's response to COVID-19, it's striking to me how much we've learned about the science and policies needed to address such crises. By and large, Canadians trust their governments, and our ministers are responding admirably to the crisis. I've been impressed with the consistent and clear communication, the co-ordination with the provinces and the rapid implementation of very significant financial packages aimed at dealing with the economic, social and health consequences of the pandemic. I'm proud that Canada has a socially cohesive society in which we place a high value on community well-being.

Martin Ford made waves with his 2015 book, Rise of the Robots, which details the many accelerating trends in automation and how they're slated to impact business and, especially, employment. For his next book, Architects of Intelligence: The Truth About AI from the People Building It, he, well, attempts to hone in on precisely what that subtitle describes. It's stuffed with in-depth interviews with the biggest names in AI. One of those is Geoffrey Hinton. Currently a professor of computer science at the University of Toronto and a part of the Google Brain project, Hinton is considered by many in his field to be the'godfather of deep learning,' due to his pioneering work in artificial neural networks.

The so-called'Godfather of Deep Learning' Geoffrey Hinton has been appointed as a Companion of the Order of Canada. In a statement, Governor General Julie Payette said she appointed Hinton as a result of his contributions to artificial intelligence, "as a computer scientist and specialist in cognitive psychology." Hinton also holds a Canada Research Chair in machine learning, and is an advisor at the Canadian Institute for Advanced Research. Hinton was born in Wimbledon, London, and holds a bachelor's degree in experimental psychology from the University of Cambridge, as well as a PhD in artificial intelligence from the University of Edinburgh. Following stints at institutions like the University of California, San Diego and Carnegie Mellon University, Hinton moved to Canada partly due to his disappointment with U.S. politics.

IBM has teamed up with a Montreal-based Institute for Data Valorization (IVADO) to jointly develop artificial intelligence (AI) products, with plans to add another 100 technology professionals to its innovation center. The innovation center, launched in 2016 for providing digital transformation services, will henceforth focus on AI and Salesforce expertise, the American technology giant stated in a press release. "Research in AI is quickly expanding worldwide – and particularly in Montréal – but AI is far from having reached its full potential in delivering concrete results for businesses," said Claude Guay, General Manager, IBM Services, Canada. "IBM's CIC in Montréal will focus on delivering value to its clients through applied AI and bringing real solutions to real problems." The new recruits the company is looking for will work as machine learning engineers, data scientists, full stack developers, or data engineers.

AI is becoming integrated in the digital systems that are part and parcel of our everyday lives. While the technology brings unprecedented opportunities, it is set to reconfigure power relationships within societies and among states; challenging human rights, deepening inequalities, and undermining international governance regimes. These disruptions are important for Global Affairs Canada as they affect Canada's ability to meet its international commitments and obligations related to human rights, inclusion, and democracy. Indeed, reports about biased AI systems fuelling discrimination and facilitating unequal access to services and information are ubiquitous. The role of AI technologies in undermining liberal democracy; eroding privacy; and interfering with human rights and freedoms, such as gender equality, freedom of expression and freedom of assembly, is also becoming troublingly apparent.

Alan Bernstein is the president and CEO of the Canadian Institute of Advanced Research. Steven J. Hoffman is the scientific director of the Canadian Institutes of Health Research's Institute of Population & Public Health and a professor of Global Health, Law and Politics at York University. Chances are this winter you've already had the aches, fever and exhaustion that typically accompany the flu, or at least you know people who have. As this becomes one of the worst flu seasons on record, public-health agencies around the world are working to monitor and track the spread of the virus. Artificial intelligence will soon help us undertake this task better, faster and cheaper.