Machine learning meets materials discovery: Researchers from IBM, Toyota, and Citrine Informatics speak at UofT
July 17, 2017
Toronto, ON – Machine learning and artificial intelligence are poised to revolutionize the way companies do business in the fields of healthcare, transportation, and materials research. With the launch of the new Vector Institute, Toronto is quickly becoming a hub for machine learning development.
Following this momentum is a three-part limited edition CIFAR seminar series, Machine Learning for Accelerated Materials Discovery, on July 18, 24, and 25, co-hosted by the Departments of Computer Science and The Edward S. Rogers Sr. Department of Electrical & Computer Engineering.
“Artificial intelligence is everywhere online, our phones, Google maps, and even our social media,” says Phil De Luna, a U of T MSE Ph.D student and co-organizer of the seminar series. “It’s extremely exciting to see how this technology is being used in real world applications with a tangible impact on our everyday lives.”
Key presenters include:
- Richard Martin | IBM Watson Research Scientist
Team leader for natural language processing in the Watson for Drug Discovery product team.
July 18, 10 am, BA1190
- Bryce Meredig | Cofounder, Citrine Informatics
Cofounder/CSO of Citrine informatics, a Silicon Valley startup using large-scale data mining to accelerate materials development.
July 24, 10 am, BA1210
- Brian Storey | Toyota Research Institute
Machine Learning research lead at the newly established Toyota Research Institute.
July 25, 10 am BA1190
This seminar series is geared to towards graduate students, researchers, and faculty but the public is also encouraged to attend.