Clayton Scott
Electrical and Computer Engineering curriculum prepares students to join the AI revolution
As AI-related skills become more valuable in research and industry, ECE faculty weave these topics into courses spanning their educational journey.Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems
Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.Matthew Raymond recognized for research using ML techniques to design new types of medicine
Doctoral student Matthew Raymond wants to facilitate the development of new and groundbreaking nanomedicines.Fourteen papers by ECE researchers to be presented at the International Conference on Machine Learning
Accepted papers for the ICML conference span topics including deep representation learning, language model fine-tuning, generative modeling, and more.Matt Raymond receives Beyster Fellowship to support research on nanoscale particle design
Raymond’s research has the potential to aid treatment of drug-resistant bacterial infections.Teaching Machine Learning in ECE
With new courses at the UG and graduate level, ECE is delivering state-of-the-art instruction in machine learning for students in ECE, and across the UniversityKatie Bouman talks legacy of the black hole imaging project and favorite U-M memories
Before Bouman became the face of the project that brought us the first ever image of a black hole, she was wowing ECE professors with design projects and hoarding Domino’s pizza with her HKN family.ECE and data science: a natural connection
Research in machine learning earns Notable Paper Award at AISTATS 2014
2014 EECS Outstanding Achievement Awards
MCubed A Year Later: A record of fostering innovative research
ECE faculty are MCubing to find answers – fast
Gyemin Lee receives Best Paper Award for research in machine learning for biomedical diagnosis
Clay Scott Receives CAREER Award for Research in Signal Processing