Placing trainable nonlinear functions on connections in analogue networks enables efficient representation of smooth continuous targets with hardware transfer at projected 30 microwatt power.
Kazanskiy, Muhammad A
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LLM agents run closed-loop design of photonic components and a full modulator by proposing, simulating, and refining against acceptance criteria.
citing papers explorer
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Low-power analogue neural networks with trainable nonlinear connections for continuous control
Placing trainable nonlinear functions on connections in analogue networks enables efficient representation of smooth continuous targets with hardware transfer at projected 30 microwatt power.
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Autonomous agentic design for photonics
LLM agents run closed-loop design of photonic components and a full modulator by proposing, simulating, and refining against acceptance criteria.