Researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence ...

In short, training builds the foundation, while inferencing brings that knowledge to life in practical, real-world ...

A machine learning (ML) model incorporating both clinical and genomic factors ... to inform second-line treatment options and clinical trials. This could put us one step closer to staying ahead of ...

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either ...

Quantum calculations of molecular systems often require extraordinary amounts of computing power; these calculations are ...

A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...

“This model can help scientists determine chemical reaction ... known as Efficiently Scaled Attention Interatomic Potential (EScAIP), represents a significant step forward for scaling machine learning ...

Researchers in the Department of Mechanical Engineering have developed a novel machine learning model combining graph neural ...

Although 3D CT scans offer detailed images of internal structures, the 1,000 to 2,000 X-rays captured at various angles ...

Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets ...

The EXPLINGO system by MIT converts intricate machine-learning explanations into readable narratives, improving trust in AI ...