When:
Friday, May 23, 2025
8:30 AM - 5:00 PM CT
Where: Mudd Hall ( formerly Seeley G. Mudd Library), 3514, 2233 Tech Drive, Evanston, IL 60208 map it
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Indira Munoz
Group: Department of Computer Science (CS)
Category: Academic
This workshop will bring together researchers and practitioners to discuss recent advances in energy-efficient machine learning (ML). As ML models grow in scale and complexity, optimizing their energy consumption has become a critical research challenge. Topics will include model compression, quantization, hardware-aware neural architectures, sustainable AI frameworks, and energy-efficient inference techniques. The workshop will feature invited talks and ample time for networking.