Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data. This includes text from books and websites, images from public databases, ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

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 ...

For example, machine learning algorithms can improve the performance of generative AI models by providing better training data or refining the evaluation process. Conversely, ...

Machine learning could help scientists quickly sift through data about the Red Planet, and perhaps other aspects of our ...

Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression. ACS Nano , 2025; 19 (16): 15457 DOI: 10.1021/acsnano.4c16037 Cite This Page : ...

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

A team of physicists, geologists and signal theorists from the University of Granada, Spain, has developed a machine-learning-based algorithm designed to predict when Mount St. Helens will erupt.