AI's energy crisis is becoming a hardware problem. Could neuromorphic chips help AI scale without consuming enormous amounts of electricity?

Discover how brain-inspired computing, spiking neural networks, Intel Loihi 2, IBM NorthPole, and other emerging AI hardware could change the future of energy-efficient computing.

Artificial intelligence is scaling at an extraordinary pace—but the electricity and infrastructure required to power it are scaling too.

In this episode of Silicon to Software, Imran Valiani explores the engineering behind neuromorphic computing and why researchers are designing processors inspired by the human brain.

The human brain operates on roughly 20 watts. Modern AI infrastructure can require massive data centers packed with GPUs, high-bandwidth memory, cooling systems, and power-delivery infrastructu ...