Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Researchers created a predictive method to identify 2D materials with ferroelectric and magnetic properties, uncovering 83 ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from ...

Conclusion: Multidimensional integration of clinical, imaging, and biomarker data significantly enhances TED activity evaluation compared to single-modality approaches. The multidimensional model ...

With the advent of big data and major technological achievements in information and communications technology, abundant human trajectory data are collected by location-aware devices such as mobile ...

Additionally, the tests on hyperparameter selection provide guidance for optimizing joint inversion parameters. Finally, the developed joint inversion method is applied to MT and teleseismic travel ...

The damp and mould data model allows you to record, track and respond to health and safety issues caused by damp and mould in social-rented homes. This is a proof of concept for a data standard ...