POSTPONED: AI Talks: Bill Dally


Due to increased concerns over the COVID-19 virus this seminar has been postponed until the fall 2020.

A​bout the speaker

Dally develops efficient hardware for demanding information processing problems and sustainable energy systems. His current projects include domain-specific accelerators for deep learning, bioinformatics, and SAT solving; redesigning memory systems for the data center; developing efficient methods for video perception; and developing efficient sustainable energy systems. His research involves demonstrating novel concepts with working systems. Previous systems include the MARS Hardware Accelerator, the Torus Routing Chip, the J-Machine, M-Machine, the Reliable Router, the Imagine signal and image processor, the Merrimac supercomputer, and the ELM embedded processor. His work on stream processing led to GPU computing. His group has pioneered techniques including fast capability-based addressing, processor coupling, virtual channel flow control, wormhole routing, link-level retry, message-driven processing, deadlock-free routing, pruning neural networks, and quantizing neural networks.

Bio from: https://profiles.stanford.edu/william-dally

About Chalmers AI Talks

A seminar series with inspiring talks from internationally acclaimed experts on artificial intelligence.
Come listen to world-renowned leaders in computer science, machine learning and statistics  discuss on a wide range of perspectives on how AI will affect research, business and society.

 
This seminar series is an initiative of the Chalmers AI Research Centre (CHAIR).

Category Public lecture
Location: Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg
Starts: 20 May, 2020, 13:00
Ends: 20 May, 2020, 14:00

Published: Mon 23 Mar 2020.