What To Fear from AI Agents and How to Reclaim Our Human Agency

Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed.

In an open letter, thousands of researchers criticized the White House’s firing of the research agency’s board as ‘an alarming attack’ on U.S. science

We present an approach for using machine learning to automatically discover the governing equations and hidden properties of real physical systems from observations. We train a "graph neural network" ...

ALT: a close up of a man with the word rocky on the bottom right

Artificial intelligence tools are accelerating manuscript production far faster than peer review capacity can expand. Applying the theory of constraints from manufacturing science, we formalize this a...

We mathematically prove that chemical reaction networks without hidden layers can solve tasks for which spiking neural networks require hidden layers. Our proof uses the deterministic mass-action kine...

“It can competently perform a lot of the work I need immediately,” this professor writes

Nature - Parsimonious deep neural network models can be used for prediction of visual neuron responses.

The warning signs included a web search, a mother’s doubts, and inklings of a “sexist attitude”

Graph neural networks trained to predict observable dynamics can be used to decompose the temporal activity of complex heterogeneous systems into simple, interpretable representations. Here we apply t...

If neuroscience is serious about building general principles of brain function, cross-species dialogue must become a core organizing principle.

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