In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

The new models are based on the company's previously released Phi 4 model, now transformed into reasoning models with better ...

Researchers at the University of Houston and the University of Cincinnati are using machine learning to create a clearer ...

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

Researchers at UT Southwestern developed an AI model that uses histopathological slide images to predict which kidney cancer patients will benefit from anti-angiogenic therapy. This deep learning ...

It's obvious when a dog has been poorly trained. It doesn't respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Biocenter Oulu, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland ...

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 ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...