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 ...

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.

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

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

If you have ever lifted a weight, you know the routine: challenge the muscle, give it rest, feed it and repeat. Over time, it ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Scientists have discovered that the human brain understands spoken language in a way that closely resembles how advanced AI language models work. By tracking brain activity as people listened to a ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...