Media Releases

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.