Our daily interactions with technology create vast amounts of data and analytics giving rise to what has been dubbed the "artificial intelligence revolution." Now, a new research centre at the University of Toronto's Temerty Faculty of Medicine aims to harness the incredible promise of AI in the realms of medicine and health care. The Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) launched this week at U of T, solidifying Toronto's place at the nexus of AI, data science and the health sciences. "Toronto is uniquely positioned to lead globally in artificial intelligence in healthcare," says Professor Muhammad Mamdani, who was recently appointed the inaugural director of T-CAIREM for a five-year term. "Our expertise in medicine and allied health sciences, computer science, statistics, mathematics and engineering is among the best in the world."

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.

Montreal-based Element AI has compiled a report and analysis on the global supply of AI researchers in an effort to get a better understanding of an industry in high demand. Overall, the report found that there are 22,064 PhD-educated researchers globally that are capable of working in AI research and applications, with only 3,074 candidates currently looking for work. The US had the highest concentration of researchers with 9,010 researchers, followed by the UK with 1,861 researchers. Canada fell in third place with 1,154 researchers. To conduct the broader survey, Element AI used results from LinkedIn searches that showed the total number of profiles according to specialized parameters.

Carnegie Mellon University's School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school's work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world. "For AI to reach greater levels of sophistication, experts in each aspect of AI, such as how computers understand the way people talk or how computers can learn and improve with experience, will increasingly need to work in close collaboration," said SCS Dean Andrew Moore. "CMU AI provides a framework for our ongoing AI research and education." From self-driving cars to smart homes, AI is poised to change the way people live, work and learn. "AI is no longer something that a lone genius invents in the garage," Moore added.

Carnegie Mellon University's School of Computer Science (SCS) has launched a new initiative, CMU AI, that marshals the school's work in artificial intelligence (AI) across departments and disciplines, creating one of the largest and most experienced AI research groups in the world. "For AI to reach greater levels of sophistication, experts in each aspect of AI, such as how computers understand the way people talk or how computers can learn and improve with experience, will increasingly need to work in close collaboration," said SCS Dean Andrew Moore. "CMU AI provides a framework for our ongoing AI research and education." From self-driving cars to smart homes, AI is poised to change the way people live, work and learn, Moore said. "AI is no longer something that a lone genius invents in the garage," Moore added.