The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes.

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...