A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions-but there is always room for improvement.

Training with data from the Bern Model A machine learning model is a statistical tool that is ... planetary systems from the Bern Model. "The results are impressive: the algorithm achieves ...

Statistical computing is undergoing a transformative phase, driven by innovations in architecture, scalability, and ...

A new deep learning method called DLE-EM accelerates SEM imaging of geological materials by up to 16×, enabling large-scale, ...

Anomaly detection involves methods that assist in identifying data points or occurrences that differ from the anticipated behavior patterns.

The potential of big data analytics (BDA) to transform the prevention, diagnosis, and treatment of cardiovascular diseases ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.