Quantum and neuromorphic computing breakthroughs

Mitigating catastrophic forgetting in neuromorphic computing through hybrid synaptic plasticity mechanisms

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Optimizing neural network efficiency with phase-change material synapses for neuromorphic computing

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Through 3D monolithic integration for ultra-high-density neuromorphic computing systems

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Advancing photonic computing through silicon photonics co-integration with CMOS electronics

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Through catastrophic forgetting mitigation in artificial neural networks for lifelong learning systems

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Employing neuromorphic computing architectures for real-time protein folding prediction

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Mitigating catastrophic forgetting in neural networks through dynamic architecture adaptation

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Optimizing neural networks across axonal propagation delays with human-in-the-loop adaptation

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Employing ruthenium interconnects for high-density neuromorphic computing architectures

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With ferroelectric hafnium oxide for non-volatile memory in edge AI devices

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Decoding neural population dynamics during decision-making with high-density electrophysiology

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Ferroelectric hafnium oxide memristors for neuromorphic computing in edge AI devices

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