RESEARCH
Neuromorphic Computing: Spiking Neural Networks Achieve 1000x Energy Efficiency
A new neuromorphic chip architecture demonstrates unprecedented energy efficiency for real-time pattern recognition tasks.
Experimental research and cutting-edge technology analysis.
A new neuromorphic chip architecture demonstrates unprecedented energy efficiency for real-time pattern recognition tasks.
Silicon photonics breakthrough enables optical matrix multiplication at petaflop speeds with near-zero energy cost for AI inference workloads.
New topological qubit architecture demonstrates error rates below the surface code threshold, marking a critical milestone for fault-tolerant quantum computing.