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11d
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 ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...
10d
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 ...
Cognizant (NASDAQ: CTSH) today announced the launch of AI Training Data Services, a new offering designed to help enterprises ...
Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...
Overview: AI models may unintentionally learn from one another through shared datasets, especially in open-source communities ...
Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, today announced that they are exploring an innovative quantum ...
18d
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, offering a more reliable and efficient alternative to traditional estimation ...
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