º£½ÇÊÓƵ

Navdeep Bains, minister of innovation, science and economic development, announced the roundtables will be led by six digital innovation leaders, including U of T computer science Professor Arvind Gupta.

Researchers at the University of Toronto and the University of Massachusetts Amherst (UMA) have applied deep learning algorithms to software for the animation and gaming industry.

Synthesis explains PhD student, Alberto Camacho, has the end goal of automatically constructing software that satisfies user intent.

Computer Science alumni and interns have helped propel Toronto's Layer 6 AI, part of TD Bank Group, to the top of the leader board in a global artificial intelligence contest for the second year in a row.

A University of Toronto student and his teammate from the University of Ontario Institute of Technology have won a global award at the "Olympics of technology," bringing home the 2018 Imagine Cup trophy for the smartARM, a prosthetic robotic hand.

Toronto’s burgeoning innovation district – home to hundreds of researchers, entrepreneurs and innovation-minded partners – is poised to undergo a dramatic expansion.

In the early 19th century, Massachusetts Governor Elbridge Gerry reconfigured the state districts to guarantee the U.S. Senate election of Democratic-Republican candidates in opposition to the Federalists. It was said the new boundary of Essex County looked like a salamander, but an opponent quipped it looked more like a gerrymander.

In business and research, leaders help motivate others to navigate a clear path forward. To help prepare future computer scientists for these roles, University of Toronto’s department of computer science is inviting undergraduates entering the second-year of the major or specialist program .

U of T computer science researchers present new approaches towards socially intelligent AIs at CVPR.

A self-driving vehicle has to detect objects, track them over time, and predict where they will be in the future in order to plan a safe manoeuvre. These tasks are typically trained independently from one another, which could result in disasters should any one task fail.