Subscribe
In this edition of QuEST, Assistant Professor at George Washington University Dr. Gina Adam will discuss her work on designing neuromorphic computing.
Key Moments in the video include:
Grand challenge for building artificial neuronal networks
Diversity of AI networks
Challenges
AI’s training complexity
Large scale models require high computational power
Existing neuromorphic chips
Neuromorphic technology applied to a cortical microcircuit model
Basics of memristor switching
Single-layer memristor-based neural network
Increased complexity and user-friendliness
Monolithic integration of memristors
Challenge of memristor non-idealities
Potential for Hardware mappability
| Date Taken: | 01.27.2023 |
| Date Posted: | 05.29.2025 13:43 |
| Category: | Video Productions |
| Video ID: | 964521 |
| VIRIN: | 230127-F-BA826-1540 |
| Filename: | DOD_111030917 |
| Length: | 01:00:52 |
| Location: | US |
| Downloads: | 2 |
| High-Res. Downloads: | 2 |
This work, QuEST (2023-01-27) Gina Adam - Drawing inspiration from the hippocampus to design neuromorphic computing, by Kevin D Schmidt, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
