A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

Researchers from Berlin University of Applied Sciences and Technology, University of Duisburg-Essen, and Einstein Center ...

Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...

When chemists design new chemical reactions, one useful piece of information involves the reaction's transition state—the ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Mariana Antaya built a machine learning model that correctly predicted three Formula 1 race winners, and she says the tool is ...

Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a time series capturing medical interventions like mechanical ventilation, ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...