Is AI the answer to life, the universe and everything?
This is Part 6 of The Neuromorphic Revolution series. Over the past five articles, we’ve traced the remarkable journey of neuromorphic computing—from its ambitious origins inspired by biological neural networks, through its foundational principles of event-driven processing and synaptic plasticity, to its early applications in sensory processing and robotics. We’ve met the key players—both academic…
For decades, neuromorphic computing has lived in the realm of promise and potential. Researchers have extolled its brain-inspired architecture, its energy efficiency, and its capacity to revolutionize how we think about computation. But the killer application—the breakthrough use case that would finally move neuromorphic from laboratory curiosity to commercial necessity—remained frustratingly elusive. That search is…
For decades, neuromorphic chips—hardware inspired by the brain’s event-driven, energy-efficient computing—languished in labs. Their promise was held back not by hardware limitations, but by a persistent software gap: programming them required neuroscience-level expertise, and each new chip came with its own bespoke programming model. That began to change five years ago. Why the Software Bottleneck…
Imagine your smartwatch running ChatGPT-level AI without ever connecting to the cloud. This transformation from centralized to distributed intelligence represents the most fundamental shift in computing architecture since the move from mainframes to personal computers. The artificial intelligence revolution has a dirty secret: it’s hitting the walls of centralized data centers. As AI models grow…
While Western nations focus on quantum computing, China is quietly establishing neuromorphic supremacy through coordinated state investment and breakthrough achievements like the 2+ billion neuron Darwin Monkey system. In August 2025, Chinese researchers at Zhejiang University unveiled Darwin Monkey—a neuromorphic supercomputer implementing over 2 billion artificial neurons at ~2,000W typical power, built from 960 Darwin…
At Sandia National Laboratories in New Mexico, Intel’s new Hala Point neuromorphic system—built from 1,152 Loihi 2 chips—implements ~1.15 billion artificial neurons while drawing about 2,600 W at peak. Rather than brute-forcing matrix math, it explores event-driven spiking computation, a brain-inspired path to more efficient AI. The system represents more than just another incremental improvement…