Michigan Engineering | University of Michigan Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.
Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems
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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.
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Can Yaras recognized for his research aimed at efficient algorithms for LLMs
Doctoral student Can Yaras wants to reduce the carbon footprint of AI.
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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.
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GenAI diffusion models learn to generate new content more consistently than expected
Award-winning research led by Prof. Qing Qu discovered an intriguing phenomenon that diffusion models consistently produce nearly identical content starting from the same noise input, regardless of model architectures or training procedures.
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Linking online and offline social networks to better predict real world impact
Prof. Lei Ying leads a new MURI that is focused on the interplay between online and offline networks and how they could impact disruptive behavior and events.
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Alum Mo Faisal on building a successful semiconductor company
Faisal, the 2023 ECE Rising Star Alumni Award recipient, founded Movellus based on his doctoral research conducted under Prof. David Wentzloff.
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Shaping the quantum future with lightwave electronics
The semiconductor-compatible technology is a million times faster than existing electronics and could give us access to an entire new world of quantum phenomena.
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Research describing quantum-inspired computational imaging earns impact award
This Q&A with award co-recipient Alfred Hero offers a glimpse into the emerging field of single photon imaging.
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Wireless and battery-free sensors for sustainable smart cities
The sensors will provide real-time data for smart decision-making by allowing the natural environment and the built environment to communicate seamlessly.