Quantum and neuromorphic computing breakthroughs

Employing catastrophic forgetting mitigation in neural networks for robust AI systems

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Bridging current and next-gen AI via self-assembled monolayer doping in neuromorphic computing

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Terahertz oscillation-based quantum memory for photonic neuromorphic computing

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In attojoule energy regimes for ultra-low-power quantum dot neural networks

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Using gate-all-around nanosheet transistors for low-power neuromorphic computing

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Mitigating signal distortion in neural networks across synaptic time delays

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Through quantum dot charge trapping for neuromorphic computing

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Enhancing quantum computing stability with phase-change material synapses in neuromorphic architectures

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Developing phase-change material synapses for neuromorphic computing in Arctic sensor networks

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Accelerating neural architecture search through few-shot hypernetwork optimization

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Employing neuromorphic computing architectures for real-time adaptive traffic management systems

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Neuromorphic computing architectures for real-time asteroid deflection trajectory simulations

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