DURIP FABRICATION OF BRAIN-INSPIRED NETWORKS FOR MULTIFUNCTIONAL INTELLIGENT SYSTEMS
Abstract
This Defense University Instrumentation Program (DURIP) proposal aims to establish key instruments to test the brain-inspired networks for multifunctional intelligent systems in an AFOSR Multidisciplinary University Research Initiative (MURI) project, entitled Brain-Inspired Networks for Multifunctional Intelligent Systems in Aerial Vehicles (PI- Yong Chen, UCLA, Award Number- FA9550-19-1-0213). The world’s fastest supercomputer, Summit, may have a computing capacity comparable to that of the human brain and simulate the intelligent functions of the human brain, but Summit consumes the equivalent power of 7000 homes (~15 MW), and the brain only consumes a power of a light bulb (~20 W). This fundamentally restrains computers from handling big data efficiently in complex dynamic environments, and limits the developments of mobile intelligent systems such as self-piloted unmanned aerial vehicles (UAVs). By contrast, the brain simultaneously processes and learns from big data via trillions of synapses and neurons in analog parallel mode, and facilitates parallel processing and real-time learning with an energy efficiency more than five orders of magnitude superior to that of the supercomputer.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 07, 2023
- Source ID
- FA95502210164
Entities
People
- Yong Chen
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of California, Los Angeles