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Autonomous Photonic Device Measurements
This project aims to make photonic device testing faster, safer, and more intelligent by combining artificial intelligence with advanced laboratory automation. University of Toronto students will work with Axiomatic AI to enhance AxMeasure, an autonomous measurement platform for complex optical and electro-optic experiments. Two undergraduate interns will help develop physics-based models of silicon photonic devices, design algorithms that choose the most informative next experiment, and build a structured knowledge system for laboratory instruments and measurement procedures. The project will also create tools to verify AI-generated measurement scripts and diagnose problems before they damage equipment or produce misleading results. By reducing manual effort and improving reliability, this work could accelerate the development of photonic technologies used in communications, data centers, sensing, and quantum systems. More broadly, it will help train highly qualified talent at the intersection of AI, photonics, and scientific automation.
Faculty Supervisor:
Joyce Poon
Student:
Partner:
Axiomatic_AI, Inc.
Discipline:
Engineering
Sector:
Professional, scientific and technical services
University:
University of Toronto
Program:
Business Strategy Internship
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.