A Waterloo startup has partnered with a German automotive giant to demonstrate how its artificial intelligence technology can potentially accelerate the development of the electronic brain behind autonomous vehicles.
Artificial neural networks simulate the human brain's ability to make decisions, to learn and to adapt to the environment. A team of engineers at Audi saw a reduction of more than 90 per cent in the number of hours spent processing and refining data for those networks using technology developed by Waterloo-based DarwinAI.
Engineering researchers at the University of Waterloo have unearthed inherent gender and age biases buried in a popular image dataset used to train artificial intelligence (AI) systems around the world.
The discovery will help researchers find ways to rebalance the data so it better reflects demographic diversity, ultimately paving the way for more accurate AI models.
A class of systems design engineering students has proven that just about anyone can play a musical instrument, even individuals with complete hearing loss. Students in Matt Borland’s SYDE 361 course gave an end-of-term concert demonstrating what they designed over the past three months for people with various disabilities.
A chance for outdoor fun and networking before final exams for our talented Systems Design (SYDE), Biomedical (BME), and Mechatronics (MTE) Engineering students at UWaterloo. The event was organized by Professor Igor Ivkovic with support from Professor Carolyn MacGregor, Professor Maud Gorbet, and Kristen Deckert.