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

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

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 ...

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 ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...