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Tech Xplore on MSNNew 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 ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...
2d
Live Science on MSNScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeResearchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...
Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...
Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...
A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...
Exploring how artificial intelligence and machine learning are redefining security for the evolving Internet of Things ...
Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...
11h
AZoBuild on MSNMachine Learning Accurately Predicts Strength of Concrete Made with Industrial WasteThe study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...
Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...
Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...
The wearable, noninvasive CardioTag is designed to capture electrocardiogram, photoplethysmogram, and seismocardiogram signals, as well as heart rate and pulse rate.
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