Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their ...

Microsoft updated its machine learning dev tooling with ML.NET 2.0 and a new version of Model Builder. ML.NET is the company's open source, cross-platform machine learning framework for .NET ...

Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." Journal of Consumer Research (forthcoming ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

(a) The flow to train the estimator. Training data for the CNN was prepared by simulation using the CI model. The researchers simplified the data with pre-processing and then trained the CNN. (b) The ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...

Building muscles: Muscle stem cells (their nuclei marked in blue) gradually alter their structure and function, becoming adult muscle cells (whose nuclei turn red). Those cells will eventually fuse ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...