The CSE alum details his journey from mathematical abstractions to vehicles safely navigating city streets.
The CSE alum details his journey from mathematical abstractions to vehicles safely navigating city streets.
NAE profile: Daniel E. Atkins, interdisciplinary engineering, computer science and engineering
A co-director of U-M’s AI & Digital Health Innovation discusses the custom-built digital environment that will power tomorrow’s health AI research.
Fellowship in the AAAS is one of the highest honors accorded to US researchers.
Implementing a conventional reading curriculum as digital, map-like lessons with voice recording features made it engaging for students of all reading levels.
AI growth is capped by data transfer rates between computing chips, but transferring data with light could remove the ceiling.
Smarter use of processor speeds saves energy without compromising training speed and performance.
Some sick Black patients are likely labeled as “healthy” in AI datasets due to inequitable medical testing.
All have solutions, some are implemented.
Through R&D, education, and international partnerships, Michigan Engineers are working to unleash the next wave of advancements in mobility.