News
1d
Tech Xplore on MSNNew 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 ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
8h
Tech Xplore on MSNA 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 ...
8d
AZoBuild on MSNResearchers 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, ...
Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...
15h
AZoBuild on MSNMachine Learning Accurately Predicts Strength of Concrete Made with Industrial Waste
The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...
The convergence of blockchain and artificial intelligence (AI) is no longer a futuristic fantasy. In 2025, these two ...
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 ...
Exploring how artificial intelligence and machine learning are redefining security for the evolving Internet of Things ...
In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.
6d
Calgary Herald on MSNCalgary professor, students say AI models not meeting expectations
Sana Wahab (left) shows off the AI program she created to Huzaifa Shafiq (right) on Tuesday, July 22. at the University of ...
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