Quantum and neuromorphic computing breakthroughs

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

gate-all-around transistors neuromorphic engineering low-power electronics nanosheet fabrication analog AI accelerators

Ultra-low power memory devices with ferroelectric hafnium oxide at 3nm scales

neuromorphic computing thin-film materials semiconductor physics energy-efficient electronics hysteresis optimization

Employing neuromorphic computing architectures for real-time adaptive robotic control systems

neuromorphic engineering adaptive robotics real-time processing spiking neural networks autonomous systems

Via backside power delivery networks for 3D-stacked neuromorphic computing architectures

monolithic 3D integration spiking neural networks voltage drop mitigation wafer-level packaging

Bridging fundamental and applied research with neuromorphic computing for edge AI

neuromorphic computing edge AI applied neuroscience energy-efficient computing brain-inspired algorithms

With phase-change material synapses for energy-efficient neuromorphic computing systems

phase-change materials neuromorphic computing energy-efficient AI neural synapses brain-inspired chips

Bridging current and next-gen AI via self-supervised curriculum learning

AI transition self-supervised learning curriculum learning next-gen AI machine learning

Through back-end-of-line thermal management in 3D stacked neuromorphic chips

thermal management 3D integration neuromorphic engineering heat dissipation back-end-of-line

Using 2D material heterostructures to create brain-inspired neuromorphic computing chips

neuromorphic computing 2D materials heterostructures synaptic plasticity

Leveraging dynamic token routing for efficient sparse attention in transformer models

dynamic routing transformers sparse attention efficiency NLP

With resistive RAM for in-memory computing architectures in edge AI devices

resistive RAM in-memory computing neuromorphic engineering edge AI hardware acceleration

Employing neuromorphic computing architectures for adaptive swarm robotics control

neuromorphic computing swarm robotics adaptive control spiking neural networks decentralized systems