Researchers developed a brain-inspired AI model that uses cognitive maps, controlled randomness, and reusable information to ...

Summary: A study demonstrates that learning in neural networks is driven primarily by adjusting the strength of existing ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Gilead Sciences uses graph neural networks and graph databases to reveal hidden fraud networks and ensure patient's safety.

CHANDLER, Ariz., July 14, 2026 (GLOBE NEWSWIRE) -- Deploying AI inference in power‑constrained and mission‑critical environments such as aerospace and defense systems requires solutions that balance ...

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The US has demonstrated a level of artificial intelligence in orbit after a neural ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced the release of its latest independently developed ...

Introduction to Neural Networks and Deep Learning with Python course by Harvard School of Engineering and Applied Sciences provides this course fully online, de ...

This work establishes a valuable theoretical finding about how the spike timing dependence of inhibitory plasticity shapes recurrent network connectivity. The combination of theoretical analysis and ...