Abstract
Physical computing techniques are fueled by recent advances in programmable and configurable large-scale analog circuits and systems enabling a typical factor of 1000 improvement in computational power (Energy) efficiency over their digital counterparts. We want to utilize the physics of computing systems more efficiently; the question is how to engineer such systems. Large-Scale Field Programmable Analog Arrays (FPAA) enable configurable analog approaches. The ability for non-volatile analog memory fuels all other innovations. At the same time, these advances have been building a framework to bring these techniques towards a systems perspective, undergoing a similar transformation seen in digital design through the early VLSI age. Taking inspiration from neurobiological systems further improves the resulting energy efficiency, mimic extremely energy efficient neural computing structures.
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