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

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Santa Clara, California - Machine learning is growing and evolving at a rapid pace and Automated Machine Learning (AutoML) ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

The machine learning model analyzes host characteristics and virus genetics to identify potential animal reservoirs and geographic areas where new outbreaks are more likely to occur. A new ...

ChatGPT and alike often amaze us with the accuracy of their answers, but unfortunately, they also repeatedly give us cause ...

One Model, the People Analytics platform trusted by enterprise HR teams, has been named a double winner at the 2025 HR Tech Awards presented by Lighthouse Research & Advisory in partnership with ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 Journal ...

Previous research has shown, and our work reconfirmed, that pretraining with one bio-signal allows a machine-learning model to learn from another bio-signal with fewer labels. This shortcut means ...

Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.