Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Researchers have studied the potential of combining photovoltaic systems with compressed air energy storage (CAES) to power a commercial building in South Africa. They found that a co-optimized system ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

Economic models used by governments, central banks and investors are increasingly understating physical climate risk because ...

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Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Tampere, Finland, Feb. 11, 2026 (GLOBE NEWSWIRE) -- Unikie's recent Innovation Summit at Nokia Arena brought together companies and experts interested in applying innovative AI solutions in their ...