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Tech Xplore on MSN7d
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 MSN6d
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 ...
Devdiscourse9d
Machine learning could turn aging treatment plants into smart environmental defenders
Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...
LLMs can predict educational and psychological outcomes from childhood essays with remarkable accuracy
Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different ...
AZoBuild on MSN15d
Researchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...
Gaussian processes provide a new path toward quantum machine learning
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims
The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...