Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers have now developed a 3D-printed 'brain-like environment' ...

Large language models like ChatGPT display conversational skills, but the problem is they don’t really understand the words ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

BERLIN--(BUSINESS WIRE)--Neural Frames, the leading AI-powered music video and animation platform, today announced the launch of its timeline-based video editor featuring Runway’s cutting-edge Gen-3 ...

It’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine learning algorithms and the spikes it produces are akin to the signals produced ...

Here we propose a physics-informed neural network for cardiac activation mapping that accounts for the underlying wave propagation dynamics and we quantify the epistemic uncertainty associated with ...

Spiking Neural Networks (SNNs) are a pathway that could potentially empower low-power event-driven neuromorphic hardware due to their spatio-temporal information processing capability and high ...

A machine learning expert breaks down where the money goes in building big AIs, and how DeepSeek found ways to do it far more ...