One of the critical factors determining the performance of neural interfaces is the electrode material used to establish electrical communication with the neural tissue, which needs to meet strict ...
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Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence
Eliminating unnecessary data movement and promoting parallel data processing are key steps to achieving low latency and high energy efficiency in real-time artificial intelligence (AI) applications ...
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The Cerebras Wafer Scale Engine significantly reduces deep learning model training times from months to minutes and weeks to seconds. Long training times have been identified as a major barrier to ...
On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex
In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of ...
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