The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This activity was supported by a contract between the National Academy of Sciences and Open Philanthropy. Any opinions, findings, conclusions, or recommendations expressed in this publication do not ...

Google Research on November 7, 2025, introduced a new machine learning paradigm called Nested Learning, designed to solve catastrophic forgetting in AI models. This long-standing problem causes models ...

Physicians at the University of Florida noticed an uptick in sinus infections after hurricanes and turned to Epic Research for answers. The resulting analysis — drawing on millions of patient records ...

UC San Diego researchers combined artificial intelligence with molecular biology to unravel how immune cells in the gut decide between inflammation and healing, a process gone awry in Crohn’s disease.

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...