Life moves in mysterious ways—and perhaps especially so for organisms that undergo dramatic shifts in levels of ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

scDiffEq algorithm overview and applications. Credit: Vinyard et al., Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01150-3. New advanced tools to study cell development Pinello, Vinyard ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Free energy perturbation (FEP) methods are among the most accurate tools in ...