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A tool developed at Purdue University makes finding errors for a neural network much simpler and more accurate.

An electric knifefish does a shimmy in the water for the same reason a dog sniffs or a human glances around a new place—to make sense of their surroundings.

Scientists at Johns Hopkins found consistent sensory-dependent movements across diverse organisms, from microbes to humans, with potential applications in robotics. An electric knifefish shimmies in the water for the same reason a dog sniffs or a human glances around a new place — to make sense o

Johns Hopkins scientists are the first to demonstrate that a wide range of organisms, even microbes, perform the same pattern of movements in order to sense their surroundings

Artificial intelligence (AI) tools may be useful for the verification process used by Wikipedia contributors and editors, according to a new study published…

A new study suggests AI tools could help Wikipedia users find better citations for claims made in the articles.

A neural network can identify references that are unlikely to support an article’s claims, and scour the web for better sources. A neural network can identify references that are unlikely to support an article’s claims, and scour the web for better sources.

Governments around the world find themselves confronted with pressing challenges presented by artificial intelligence (AI), with one of the major questions being how to regulate generative AI systems like ChatGPT. The technologies are developing at lightning speed and the interests of the companies behind the AI are predominantly commercial.

Researchers at Helmholtz Munich and the Technical University of Munich have made significant progress in advancing high-resolution optoacoustic imaging for clinical use.

Peeking into chatbot mistakes, scientists probe deeper into human cognition.