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The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...
5d
Tech Xplore on MSNA 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 ...
11don MSN
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...
Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...
D-Wave Quantum Inc. (NYSE: QBTS) announced it has released a collection of offerings to help developers explore - Read more ...
A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time. This adaptive system enables smarter, safer, and ...
“With this new toolkit and demo, D-Wave is enabling developers to build architectures that integrate our annealing quantum ...
Estimating fuel savings from aircraft modifications is a laborious process for Air Force experts, but not for an SEI machine ...
Quantum-computing firm D-Wave introduced an open-source toolkit for bringing quantum annealing into AI and machine learning (ML) workflows.
The Agntcy open source project, aimed at harmonizing interactions among AI agents, is gaining more support among major IT ...
As AI models increasingly ace conventional tests, researchers are looking for new benchmarking methods. Google is betting on ...
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