Atomfair Brainwave Hub: SciBase II / Computational Modeling and Optimization / AI-driven material and energy innovation

AI-driven material and energy innovation

Showing 1-8 of 8 articles

Bridging current and next-gen AI with neuromorphic photonic tensor cores

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

Femtosecond pulse interactions with exotic quantum materials for ultrafast computing

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

With resistive RAM for in-memory computing in edge devices

Preparing for 2032 processor nodes with back-end-of-line thermal management innovations

With resistive RAM for in-memory computing architectures beyond von Neumann limits

Investigating self-heating mitigation strategies in 3nm semiconductor nodes for improved thermal management