Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Engineering economical and scalable processes for direct air capture (DAC) from humid air relies on atomistic modeling to search and identify promising sorbent materials from a va ...

Machine learning and robotic synthesis are accelerating the search for catalysts that convert methane directly into ethylene, ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

A PRISMA-based systematic review of 81 studies proposes a unified architecture for AI-native 6G communication systems.

Artificial intelligence is simply how to let machines or computers do things intelligently like people. AI has a pro over human intelligence, and that is because AI is more lasting, more constant, ...

CBK is implementing AI use cases across 14 departments, with applications covering inflation forecasts, GDP nowcasting, ...

Machine learning is increasingly being explored in spine surgery to predict patient outcomes, assist surgical planning and improve intraoperative decision-making, according to a review in the fall ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...