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New algorithm enables efficient machine learning with symmetric data structuresIf you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...
In a world where latency, compliance, and scalability are top priorities, infrastructure engineering is rapidly evolving.
Energy Efficiency, Environmental Monitoring, Smart Cities, Energy Consumption, Clustering Techniques, Duty Cycling, Data Condensation, Machine Learning (ML), Reinforcement Learning (RL), Supervised ...
Tech Xplore on MSN8d
A thermodynamic approach to machine learning: How optimal transport theory can improve generative modelsJoint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...
Traditional hydrological models are increasingly being replaced or enhanced by data-driven approaches capable of learning ...
Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents DeepAnT Performance, currently the ...
From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...
Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting ...
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