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An ART1 microchip and its use in multi-ART1 systems
T Serrano-Gotarrdeona1, B Linares-Barranco
1Nat. Microelectron. Center, Seville.
IEEE Transactions on Neural Networks
|January 1, 1997
Summary
A new ART1 neural engine chip prototype significantly reduces area and improves yield. This advancement enables more robust, easily assembled multichip systems for advanced clustering tasks.
Area of Science:
- Artificial Intelligence
- Neuromorphic Engineering
- VLSI Design
Background:
- Previous ART1 architecture chips suffered from large silicon area (1 cm²) and low yield (6%).
- Area-intensive circuit elements, like precise current source arrays, were key limitations.
Purpose of the Study:
- To develop an improved ART1 chip prototype with reduced area and higher yield.
- To maintain or improve precision and speed compared to prior designs.
- To enhance robustness for multichip system integration.
Main Methods:
- Implemented area-consuming circuit elements using a novel approach based on transistor mismatch characterization (ES2-1.0 µm CMOS).
- Fabricated a new prototype capable of clustering 50-bit input patterns into ten categories.
- Evaluated performance metrics including area, yield, precision, and speed.
Main Results:
- The new prototype chip occupies 15 times less area than the previous version.
- Achieved a significantly improved yield performance of 98%.
- Maintained the same precision and speed as the earlier, larger chip.
Conclusions:
- The improved ART1 chip offers a more efficient and robust solution for real-time clustering.
- The design facilitates the easy assembly of multichip ART1 and ARTMAP systems.
- This work demonstrates the feasibility of a two-chip ART1 system and a three-chip ARTMAP system.
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