Sephia Achieves Sub-One-Laser-Per-Neuron Efficiency With Scalable Optical Neuromorphic Computing Architecture

The pursuit of energy-efficient computing increasingly focuses on mimicking the human brain, leading researchers to explore spiking neural networks. Matěj Hejda, Aishwarya Natarajan, Chaerin Hong, and colleagues at Hewlett Packard…

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