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.

What is sixth sense technology? Some experts believe that humans are born with a sixth sense. It's the sense of proprioception, which is the perception or awareness of one's own body's position and movement. Solid-state sensors, which have historically been utilised in robotics, are unable to record the high-dimensional deformations of soft systems, making this sophisticated sense difficult to replicate in robots. Embedded soft resistive sensors, on the other hand, have the ability to solve this problem.

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.

The Complex Information Systems Lab (CISL) is focused on projects that combine hardware (electronics devices, including custom build PCB's, mechanical devices, enclosures), with algorithms and software (data filtering, processing, machine learning, communication protocols) in order to address challenges in non-IT industries, including: medical applications, agriculture, power energetics, smart cities, industrial plants and others. CISL works towards exploiting the power of big data analytics and machine learning by building devices capable of acquiring new types of physical data. The synergy between new types of data and ML opens a large exploration space - ample opportunities for innovation, research and development, economic growth - all centered on data driven decisions. The Complex Information Systems laboratory staff is composed of 6 faculty members and researchers (post-doc and PhD students), and two collaborators with expertise in hardware manufacturing. They are the authors for more than 62 scientific publications in high ranked conferences and journals.

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.

Egyptians call them "emperors", and, every night, millions tune in to watch them lecture, entertain and rant their way through hours of television output. However, the very entertainers people love to watch are also widely recognised as by-products of a state of censorship that has become synonymous with Egyptian media - by-products and hosts on the front lines of Abdel Fattah el-Sisi's government's propaganda efforts. The government has created an environment where disbursement of information, unless it is tightly controlled by the government, is all but impossible. "One of the key aspects of these talk shows is the way they whip out a sense of national emergency," says Marwan Kraidy, director at the Center for Advanced Research in Global Communication. "They react in a very emotional, sensationalistic way to very atrocious events. You not only support the government. You bend over backwards, so to speak. So, dissidents, political prisoners are typically vilified, they are portrayed as enemies of the nation. "And if you portray anybody as an enemy of the nation in a time of emergency," continues Kraidy, "what you're saying is'it's okay to jail them, it's okay to beat them up.' And, in some cases, 'it's okay to kill them.'" Most hosts understand that toeing the line may be overlooked - although not recommended - but are very well aware of the consequences that await them should they cross the unspoken red line set out by the Sisi government. Criticism of the president, the military and/or intelligence services are all off limits. One such journalist who didn't heed the general warnings and guidelines was Ibrahim Eissa. "Ibrahim Eissa is sort of the type of muckraking, investigative journalist who's not afraid of speaking truth to power.

Part of the money will help secure research grants designed to stop a'brain drain' and ensure that top computing talent and academics remain in the country, avoiding the lure of more lucrative funding for projects in other nations. The money will also help to nurture post-graduate trainees and researchers who wish to study artificial intelligence. There will also be a co-ordinated attempt to bring together Canada's main centers of computer expertise. These are located in Montreal, Toronto-Waterloo and Edmonton. The funding strategy will be channeled through the Canadian Institute for Advanced Research.