AI, Energy, and the Road to the Singularity

Neuromorphic computing, a field pioneered by researchers at institutions like Stanford’s Brains in Silicon Lab and Intel’s Loihi project, aims to build chips that mimic the sparse, spiking behavior of neurons. These chips use event-driven architectures, consuming power only when necessary—a radical departure from today’s AI accelerators that constantly churn through data