A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
AI systems began a major shift in 2025 from content creators and chatbots to agents capable of using other software tools and ...
A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...
Morning Overview on MSN
Tesla nears Starlink in-car, and the payoff could be huge
Tesla is edging toward a future where its cars are not just electric and autonomous, but also natively connected to ...
Engineers working in the emerging areas of advanced air mobility (AAM) and electric vertical take-off and landing (eVTOL) may be in uncharted skies, literally and figuratively. While transforming ...
1 University of Colombo School of Computing, University of Colombo, Colombo, Sri Lanka 2 Faculty of Engineering and Design, University of Auckland, Auckland, New Zealand Introduction: Large Language ...
Colin Weber has always had an eye on the big picture. As an undergraduate chemical engineering student in Connecticut, he often looked for ways to apply his engineering skills to a wider set of ...
Dairy farms are complex systems requiring coordinated management of livestock, manure, and feed. In recent decades, the U.S. dairy industry has consolidated into fewer, larger farms with a substantial ...
August 20, 2025—Model-based systems engineering (MBSE) is a decades-old, formal methodology for improving communication, productivity, and quality during the development of complex systems. While MBSE ...
Get the latest federal technology news delivered to your inbox. Microsoft said Friday it will end the use of China-based engineers to support its cloud services for the Defense Department after a ...
Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...
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