The "Godfather of AI" identified a reason why OpenAI rolled out chatbots faster than Google.

Artist Terence Broad makes AI produce images without any training data at all.

Researchers combine acoustic monitoring with a neural network to identify fish activity on coral reefs by sound. They trained the network to sort through the deluge of acoustic data automatically ...

The basic principle of AI models generally remains untouched, however: the algorithms are usually based on neural networks, which are modeled on the visual cortex of our brain. But a team of ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.

Artificial neural networks are behind much of the AI technology we use today. In the same way your brain has neuronal cells linked by synapses, artificial neural networks have digital neurons ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

This paper presents In-Context Operator Networks (ICON), a neural network approach that can learn new operators from prompted data during the inference stage without requiring any weight updates. ...

OpenAI peeks into the “black box” of neural networks with new research "We do not understand" how LLMs work, admits OpenAI in quest to make them interpretable.

Neural networks that apply weights to variables in AI models are an integral part of this modern-day technology. Research is ongoing, and experts still debate whether bigger is better in terms of ...