The shift from static inference to real-time autonomous agents is driving explosive demand for custom silicon, low-latency ...

Using machine learning and math, a Brigham Young University student improved a key tool firefighters rely on during wildfire ...

Mitigating risk: AI’s ability to analyze vast datasets allows for smarter risk detection, such as identifying unusual property access patterns. This data-driven insight empowers property managers to ...

These waves are at least twice as tall as the surrounding waves. They’re unpredictable. They can come from unexpected ...

Scientists have discovered that earwax may hold clues to early Parkinson's detection. Analyzing volatile organic compounds ...

Luoqing Cai has quickly drawn attention through her appearance in Beijing Fashion Week’s Virtual Fashion section ...

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study ...