Quantum and neuromorphic computing breakthroughs

Using carbon nanotube vias for ultra-high-density interconnects in next-generation neuromorphic computing chips

carbon nanotubes neuromorphic computing interconnects vias nanoelectronics

Phase-change material synapses for energy-efficient neuromorphic computing architectures

neuromorphic computing phase-change materials artificial synapses energy efficiency plasticity emulation

Harnessing topological insulators for low-power spintronics in neuromorphic computing architectures

topological insulators spintronics neuromorphic computing spin-momentum locking energy-efficient hardware

Modeling neural networks across synaptic and axonal propagation delays for brain-inspired computing

synaptic delays axonal propagation neuromorphic computing neural networks brain-inspired algorithms

Preparing for 2032 processor nodes via superconducting memristor crossbar arrays

superconducting computing neuromorphic engineering beyond-CMOS cryogenic memory processor scaling

Phase-change material synapses for neuromorphic computing with reduced energy dissipation

phase-change materials neuromorphic computing synaptic plasticity energy efficiency memristors

Neuromorphic computing architectures for real-time fusion plasma control in tokamak reactors

neuromorphic engineering fusion energy plasma control AI hardware tokamak optimization

Using carbon nanotube vias for ultra-high-density 3D monolithic integration in neuromorphic computing

carbon nanotubes neuromorphic computing 3D integration interconnects nanoelectronics

Across synaptic time delays for improving spiking neural network robustness in edge AI

spiking neural networks synaptic delays edge AI neuromorphic engineering fault tolerance

Developing self-repairing phase-change material synapses for neuromorphic computing

phase-change materials neuromorphic computing self-repairing synapses neural plasticity AI hardware

Bridging current and next-gen AI with neuromorphic computing for edge devices

neuromorphic computing spiking neural networks edge AI energy efficiency next-gen hardware

Through catastrophic forgetting mitigation to enhance lifelong learning in artificial intelligence systems

catastrophic forgetting lifelong learning artificial intelligence neural networks continual learning