Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...

From self-driving cars to facial recognition, modern life is growing more dependent on machine learning, a type of artificial ...

Accurate preoperative MVI detection can guide surgical planning but is limited by invasive histopathological exams and interobserver variability. This study evaluates the diagnostic performance of ...

Researchers at the Carl R. Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies.

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN ...

The researchers concluded that this machine-learning model would be able to make relatively accurate predictions of the peak and average IOP in a patient over the course of 24 hours.

Researchers at Carnegie Mellon University, together with scientists at a conservation ranch in Montana, developed a method that trains machine learning models to detect invasive species more ...

More information: Peizhen Bai et al, Mask-prior-guided denoising diffusion improves inverse protein folding, Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 ...

High accuracy -- The AI model classified emotional valence with an overall accuracy of 89.49%, demonstrating its strong ability to distinguish between positive and negative states.