Information Technology
WARF: P220141US01
Inventors: Mohit Gupta, Matthew Dutson
The Invention
UW-Madison researchers have created an event neural network system and associated methods, comprising a family of neural networks in which neurons transmit (thereby triggering downstream computation) only when there is a significant change in their activation. Neurons fire only when they have something “interesting” to say, leading to increased efficiency and accuracy.
Applications
Ideal for applications that require processing video data at high speeds with minimal power budget including:
- Robotic navigation
- Surveillance
- Autonomous vehicles
- Drones
- IoT/edge devices
Key Benefits
- Improved efficiency for video analysis.
- High accuracy inference.
- Reduced computation costs.
Additional Information
For More Information About the Inventors
Tech Fields
For current licensing status, please contact Michael Carey at [javascript protected email address] or 608-960-9867