Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

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

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

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 ...

The technique, called DiffProtect, quietly rewrites a person’s face in a photograph using the same generative technology ...

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

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...