Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

UC Santa Barbara researchers confirmed that parts of the neural network that inhibit movement in fruit flies plays a ...

Physicists have used a machine learning approach to reveal unexpected details about how particles interact in complex systems. Their work focuses on ...

When models cannot get the simple stuff right, that’s a cause for serious concern. I have been thinking about a question that ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

Daisy chains are different. Their signal is structural. What matters is not one transaction, but the sequence. Imagine money ...

Collov Labs plans to use its new funding to expand its research team and accelerate development of visual AI applications with more advanced agentic capabilities capable of executing complex tasks and ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

In December, The Conversation hosted a webinar on AI's revolutionary role in drug discovery and development. Science and ...

K2.6, the latest addition to its popular Kimi series of open-source large language models. The Chinese artificial ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...