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Machine learning method improves accuracy of inverse protein folding for drug design
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
Unprecedented dataset of molecular simulations to train AI models released
A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los ...
techUK9h
How can the UK capitalise on the rapidly evolving semiconductor landscape
With its deep expertise in PICs and a dynamic innovation ecosystem, the UK is exceptionally well positioned to thrive in the ...
AZoRobotics on MSN8d
AI Framework from University of Sheffield and AstraZeneca Enhances Protein Design for Drug Development
A new AI-driven approach developed by researchers at the University of Sheffield, AstraZeneca, and the University of ...
Tech Xplore on MSN4d
Machine learning model predicts heat-resistant steel durability while preserving data confidentiality
NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...
C&EN4d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
This AI Model Never Stops Learning
Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...
pharmaphorum16d
Using Define-XML for Dataset Design | pharmaphorum
Define-XML standardizes how to describe datasets in a machine-readable manner. ... You can verify the compliance of your submission dataset designs to CDISC standards before collecting any data, ...