Abstract

Over the past decade, computer vision driven by deep learning has burst onto the technology scene with major success. Computers get superhuman visual power and can identify patterns from images that humans can’t. For example, in the healthcare sector, the pattern recognition prowess of computer vision is unmatched by human doctors. In addition, the recent advances in foundation models, such as GPT-3 and DALL-E, trained on a vast quantity of unlabeled data at scale, bring about a major paradigm shift in AI. As we are reaching the point of singularity, this talk invites the audience to join the discussion of the permeation of AI: its reach, its impact, and where we may be heading toward.

Bio.

Trista is a tech executive and an AI scientist. She is currently the Director of the AI Research Center at Microsoft, with research interests in computer vision (CV), generative AI, health AI, and human-centered AI. In addition to actively publishing 30+ papers and 110+ patents (issued and pending), she won the world championship in USAID Intelligent Forecasting Competition. Previously, Trista held leadership positions at multinational corporations such as Inventec, Intel, and Nvidia and led two startups from incubation to acquisition. As the Chief AI Officer at Inventec, she led the team to obtain the first batch of ISO-13485-based quality management certificates in Taiwan with a novel AI Software as a Medical Device (SaMD). In addition, she led a successful real-world smart-manufacturing effort in deploying AI supply chain management, quality assurance, and industry 4.0 solutions to day-to-day production lines with annual revenue of 16B USD. At Intel, Trista facilitated the development of the world's most widely adopted CV software, OpenCV, which was downloaded 18 million times as of 2021. At Nvidia, she architected Nvidia's first video processor. Trista received her Ph.D. from Carnegie Mellon University and M.S. and B.S. from National Tsing-Hua University.

All faculty and students are welcome to join.