Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Courtesy of Arup. Designer and Fulbright fellow Stanislas Chaillou created a project at Harvard utilizing machine learning to explore the future of generative design, bias and architectural style ...

Now imagine training a deep learning algorithm not on just one concept, but on hundreds of thousands of labeled images. Supervised learning is typically used for classification and regression .

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 ...

Machine Learning (ML) leverages algorithms to analyse and make classification predictions from input data. The Tsetlin Machine (TM) represents a distinctive ML algorithm for pattern recognition rooted ...

Deep learning (DL) approach which is quite different from traditional ML algorithms can be a promising solution to the problem of detecting all variants of malware. In this study, a novel ...

Researchers at the Berryville Institute of Machine Learning (BIML) have developed a formal risk framework to guide development of secure machine-language (ML) systems. BIML's architectural risk ...