TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

DeepMind's AI has made remarkable progress in mathematical reasoning within a span of just one year.  After earning a silver ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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 June 20, 2025 ...

This week, I'll share a few tips to maintain good balance for the long haul. Plus, I will introduce a mobility exercise that helps create the optimal biomechanical conditions where balance can be ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Machine learning model performance in menopausal status classification based on OBS and Its Components. (A) Five-fold cross-validation accuracy of the classification models in the training set.

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

Humans can quickly learn new concepts with limited experience, while not forgetting learned knowledge. Such ability in machine learning is referred to as few-shot class-incremental learning (FSCIL).