Tag: deep learning

In April, students in the Applied Deep Learning and Applied Machine Learning courses presented their final projects during a poster session in Malachowsky Hall. Dr. Andrea Ramirez-Salgado, instructional assistant professor in the Department of Engineering Education, instructed both courses this spring. The students were either from the Master of Science in Artificial Intelligence Systems (MSAIS) […]

Artificial Intelligence (AI) is revolutionizing healthcare, and at the heart of this transformation are foundation models (FMs), large-scale deep learning systems trained on massive datasets and a more general form of chatGPT beyond text. In their recent paper, A Comprehensive Survey of Foundation Models in Medicine accepted by IEEE Reviews in Biomedical Engineering (RBME), researchers Ruogu Fang, […]

“Robust Edge Intelligence: A Compute-in-Memory Pathway for Self-Awareness and Reasoning-abilities in Dynamic Environments” Monday, March 28th at 1:00pm Via Zoom, click to join Abstract This talk presents a compute-in-memory-based deep learning framework for next-generation edge devices with built-in self-awareness on their predictive uncertainties and ability to reason for robustness in highly dynamic environments. While compute-in-memory […]