A new statistical model has successfully sorted members of the U.S. Congress into distinct political and legislative groups ...

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...

Diffusion models already power AI image generators, but Inception thinks they can be even more powerful applied in software ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Understanding the difference between deterministic and non-deterministic systems is key to thriving in this new world of AI.

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

Machine learning predicted ASD using sex-specific prenatal/perinatal factors: pregestational BMI, socioeconomic status, maternal age, and more.

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

Liu, X. , Mei, R. , Zhao, Z. , Wang, S. and Duan, J. (2025) An Optimized Port Operation Efficiency Prediction Model Based on ...

Today, the Chan Zuckerberg Initiative (CZI) and NVIDIA announced an expanded collaboration to accelerate life science research by driving development and adoption of virtual cell models through tools, ...