A new computational tool infers changes occurring at the ends of the chromosomes housing our DNA. It does so by detecting ...
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Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...
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 ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...
Nearly 50 years ago, neuroscientists discovered cells within the brain's hippocampus that store memories of specific locations. These cells also play an important role in storing memories of events, ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
Barry Lawson is a Bates computer science professor who chairs the Program in Digital and Computational Studies. He is also an accomplished multi-instrumentalist who plays mandolin, guitar, and upright ...
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