A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

The Flying Fortress cumulatively dropped more bombs than any other plane during World War II, but those numbers came at a ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.