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Tech Xplore on MSN5d
New algorithm enables efficient machine learning with symmetric data structures
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Tech Xplore on MSN4d
A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
InfoQ4d
Maximizing Deep Learning Performance on CPUs using Modern Architectures
Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...
News-Medical.Net15d
New machine learning model revolutionizes protein simulations
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.
Unite.AI5d
From AI to Organoids: How Growing Brain-like Structures are Advancing Machine Learning
Artificial Intelligence (AI) is usually built with silicon chips and code. But scientists are now exploring something very ...
UC San Diego Today19d
When the Stakes are High, Do Machine Learning Models Make Fair Decisions?
Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You ...
Scientific Research Publishing5d
Numerical Prediction of Air Overpressure during Mining Operations in an Open Pit Mine ()
Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...