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New research at the University of Waterloo could lead to the development of batteries that triple the range of electric vehicles.

The breakthrough involves the use of negative electrodes made of lithium metal, a material with the potential to dramatically increase battery storage capacity.

“This will mean cheap, safe, long-lasting batteries that give people much more range in their electric vehicles,” said Quanquan Pang, who led the research while he was a PhD candidate in chemistry at Waterloo.

Researchers from Waterloo Engineering shared the spotlight yesterday as Ontario Premier Kathleen Wynne officially announced Stratford as the home of a testing zone for the development of self-driving vehicles.

Wynne spoke with Professor Krzysztof Czarnecki and eight student researchers who were on hand with two highly automated cars – the Autonomoose and a similar Lincoln MKZ sedan that is being developed with Renasas Electronics – to show off the technology.

The University of Waterloo is Canada’s most innovative university, according to a reputational survey from Maclean’s magazine.

Maclean’s annual ranking of Canadian universities, released today, also named Waterloo second for best overall, highest quality, and leaders of tomorrow out of the 49 universities surveyed.

Computer algorithms developed by engineering researchers at the University of Waterloo can accurately determine when drivers are texting or engaged in other distracting activities.

The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.

The University of Waterloo will host innovators from around the world who have revolutionized business through disruptive technology for its fifth annual Waterloo Innovation Summit on September 14 and 15. With this year's conference theme 'Hacking the Future', influential speakers from a wide range of sectors will focus on discussions in foward-thinking and interactive conversations. 

As expectations soar in the exploding field of artificial intelligence (AI), a small but growing group of researchers is buckling down on a fundamental problem: understanding how increasingly complex computer programs actually work.