A novel technology for fabricating customizable VLSI artificial neural network chips
Conference
·
OSTI ID:10190097
- Lawrence Livermore National Lab., CA (United States)
- Naval Air Warfare Center, China Lake, CA (United States)
This paper describes an implementation of hardware neural networks using highly linear thin-film resistor technology and an 8-bit binary weight circuit to produce customizable artificial neural network chips and systems. These neural networks are programmed using precision laser cutting and deposition. The fast turnaround of laser-based customization allows us to explore different neural network architectures and to rapidly program the synaptic weights. Our customizable chip allows us to expand an artificial network laterally and vertically. This flexibility permits us to build very large neural network systems.
- Research Organization:
- Lawrence Livermore National Lab., CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 10190097
- Report Number(s):
- UCRL-JC--109597; CONF-9206102--6; ON: DE94000398
- Country of Publication:
- United States
- Language:
- English
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