CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...
At the global level, the study reveals that the United States and the United Kingdom remain the dominant producers of ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...
A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.
Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Nvidia Corp. today announced the release of new tools for developers working on artificial intelligence-enabled robots, including humanoids, that enable faster development cycles using simulation, ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
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