Phys.org

Machine learning cracked the protein-folding problem and won the 2024 Nobel Prize in chemistry

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology's biggest challenges: predicting the 3D shape of proteins ...

Data-driven model captures dynamics of turbulence at scale

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...
News Medical

Guidelines for using interpretable machine learning methods in computational biology

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
Forbes

Quantum Mechanics And Machine Learning: How To Solve Real-World Problems

Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Quantum mechanics, which is the study of the behavior of sub-atomic ...
Analytics India Magazine

Bring Back Purpose-Built Machine Learning, Says Zoho’s AI Research Head

The answer to token maxing is not less AI. It is purpose-built machine learning and right-sized models, says Zoho’s Ramprakash Ramamoorthy.
Aalto University

Several Postdoctoral researcher and 1-2 doctoral researcher positions in machine learning in Kaski Lab, ELLIS Institute Finland and Manchester Centre for AI Fundamentals

Samuel Kaski’s two-part research lab in ELLIS Institute Finland (Probabilistic Machine Learning, Aalto University) and the Centre for AI Fundamentals in University of Manchester, is searching for ...