A team of researchers has developed a new strategy for identifying hazardous pollutants in soil -- even ones that have never been isolated or studied in a lab.

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Making your data AI ready – data agility is vital for successful AI applications. Semantic data analysis allows for efficient data integration, classification and contextualization, which will enable ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Subtle differences in how people grasp everyday objects may help identify autism, according to a new study published in ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Stromatolites in such extreme settings offer critical insight into life’s adaptability and leave behind distinct ...