Fred N. Buhler

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A 16-channel machine learning digitizing interface embeds Inner-Product calculation within a Delta-Sigma Modulator (IPDSM) array canceling quantization noise and noise shaping the multiplicand. The prototype, with 16 independent IPDSM channels occupies a core area of 0.95mm<sup>2</sup> in 65 nm CMOS. Each channel performs up to 100M multiplications/s. The(More)
A digital-analog hybrid neural network exploits efficient analog computation and digital intra-network communication for feature extraction and classification. Taking advantage of the inherently low SNR requirements of the Locally Competitive Algorithm (LCA), the internally-analog neuron is 3x smaller and 7.5x more energy efficient than an equivalent(More)
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