A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Today, state government IT teams perform procedures such as anomaly and threat detection at scale thanks to AI solutions, ...

At the core of this new model lies the application of two types of differential privacy techniques, Laplacian and Gaussian, ...

The in-licensed antibody represents what iBio believes to be the first functional inhibitor of Activin E, a challenging, yet genetically validated therapeutic target playing a key role in regulating ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

The numbers of stars, forks, and commits make a strong case that open source is the basis for everything from containers and ...

View software available in the Integrated Systems Biology and AI — Tailored Pharmacology and Precision Medicine Lab led by Hu ...

In a rapidly evolving digital landscape, the seamless integration of data and machine learning operations has become a ...