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Many shop owners view anything high tech with trepidation… and with good reason.

The digitization of today’s vehicles has moved diagnosis outside the comfort zone of many veteran technicians. It requires continuous investment in proprietary training and tools. A shop can tie up a top technician for hours troubleshooting an electronic fault and barely break even on the effort.

Does it make sense to apply the highest of high technology to maintaining and fixing cars?

During the past year, there have been major implosions of robot startups, such as with Jibo, Anki and Rethink Robotics.  They all raised substantial amounts of capital from top-tier investors and had strong teams.

So why the failure? One of the main reasons is the extreme complexities of melding software and movable hardware.  As a result, the technology often does not live up to expectations.

Our very own Waterloo.ai academic member, Professor Mark Crowley will be a panelist at this upcoming event hosted by Waterloo Symposium on Technology & Society on May 15th. 

The panel discussion will feature Avi Goldfarb, Andrew Bailey, Carla Fehr and Mark Crowley, with moderation from Centre for Security Governance  Executive Director Mark Sedra.

For more information and registration, please click here

For Canadian researchers whose fields have been selected as priorities for government largesse, such as artificial intelligence, Canada feels a comfortable place to be. Peter van Beek, co-director of the AI Institute at the University of Waterloo, says that the roughly Can$350 million provided in the 2017 federal budget for the Pan-Canadian AI Strategy and the Scale AI cluster (part of a business-led supercluster initiative) has been “a total game changer”.

Click here to read more from Peter van Beek and others. 

University of Waterloo researchers have developed a new framework that increases the probability of meeting your investment target by threefold.

The data-driven approach, which is enhanced by machine learning, significantly outperforms traditional methods used by investors and people saving for retirement.