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An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices
In this paper, we develop an in-memory analog computing (IMAC) architecture realizing both synaptic behavior and activation functions within non-volatile memory arrays.
Inference with Hybrid Bio-hardware Neural Networks
This paper studies whether a bio-plausible model of a in vitro living neural network can be used to perform machine learning tasks and achieve good inference accuracy.
A Supervised STDP-based Training Algorithm for Living Neural Networks
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.
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