Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Accurate monitoring of atmospheric aerosols is essential for air-quality management and climate research, yet remains ...

A wearable device pairs glucose-responsive insulin with algorithmic pump control, creating dual safety loops that reduced ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...

Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.

In this piece Rajat Kochhar of Ericsson's CTO office looks at the possibilities quantum AI offers for the telecoms space.

Analysis conducted by the Internet Watch Foundation (IWF) found that last year was the worst on record for AI-generated child ...

Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect performance anomalies using deep learning.

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...