The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
MadAbility, run by Yuhang Zhao, is developing access technology that relies on machine learning to fill information gaps for people who are blind or have low vision.
In a quiet laboratory, a team of atmospheric scientists and engineers at the U.S. Department of Energy's (DOE) Brookhaven ...
Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...
Abstract: The need for robust machine learning models is particularly evident in the realm of biological pattern recognition. Traditional centralized methods often struggle, as they frequently depend ...
Why does the same virus barely faze one person while sending another to the hospital? New research shows the answer lies in a molecular record etched into our immune cells by both our genes and our ...
You Won't Spend Money After Learning These Unique Handyman's Secrets Judge to Trump lawyers trying to move hush money appeal to federal court: 'You sought two bites at the apple' Peter Attia '60 ...
This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).
Abstract: Alzheimer Disease (AD) is a degenerative neurological disorder that impairs memory, cognitive function, and behavior, posing a major global health concern. Early detection serves a crucial ...
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