Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Science Daily

Unlocking the human genome: Innovative machine learning tool predicts functional consequences of genetic variants

In a novel study, researchers introduced LoGoFunc, an advanced computational tool that predicts pathogenic gain- and loss-of-function variants across the genome. Unlike current methods that ...
Hosted on MSN

Machine learning approach leads to discovery of high-performance infrared functional materials

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, forming the technological backbone of modern optoelectronics. Traditionally ...
C&EN

Machine learning helps density functional theory model molecules accurately

Nearly a third of US supercomputer time is spent on molecular modeling, a way to test-drive new drugs and materials on the computer before making them in the lab. The most accurate approach is the ...
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Revolutionizing Artificial Intelligence: The Innovations of Rishabh Shanbhag in Cloud Architecture and Machine Learning

In the ever-evolving fields of artificial intelligence (AI) and machine learning, where technological progress hinges on innovation, Rishabh Shanbhag has emerged as a transformative force. His ...