This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Artificial Intelligence (AI) is emerging as a practical enabler of the evolving power grid as wind and solar power bring ...

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University ...

Predicting observable traits from genetic variation remains difficult due to the complex interplay of multiple genes and environmental influences. Widely used statistical approaches are limited in ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

OneCyte, which focuses on high-throughput single-cell analysis and cell line development technologies, and Kemp Proteins, which specializes in protein engineering and expression solutions, signed a ...

AI acts as a feature to support existing solutions, which enables predictions and control process improvements beyond ...

What if your backyard could become a fully livable home? This 215 sqft space is designed to be completely self-contained, combining efficiency, comfort, and simplicity. Every element is carefully ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...