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Large language models are now central to the ideation phase, where possibilities are explored and assumptions are challenged.

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Ai2 unveiled Molmo 2, a new open-source AI model that can analyze video with precision — tracking objects, counting events, ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

An unexpected anomaly is only as disruptive as the framework it challenges, and in modern physics that framework is a ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

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Abstract: We propose an online learning algorithm tailored for a class of machine learning models within a separable stochastic approximation framework. The central idea of our approach is to exploit ...