Session
Advancing the Frontier of Neuromorphic Learning Systems
DescriptionThis session showcases cutting‑edge advances in neuromorphic and brain‑inspired computing that redefine the frontiers of energy‑efficient intelligence. The contributions span spiking transformers, adaptive SNN architectures, memory‑efficient fine‑tuning techniques, hyperdimensional learning, in‑storage computation, and lightweight Bayesian inference. Collectively, they illustrate the power of emerging algorithm‑hardware co‑design paradigms that enable robust, low‑power, and highly scalable intelligent systems tailored for real‑time and data‑intensive applications.
Event Type
Research Manuscript
TimeMonday, July 271:30pm - 3:00pm PDT
LocationMtg Room 203AB
Design
DES3. Emerging Models of Computation
Presentations
