Git provides the structure that makes agentic workflows in software engineering viable. Other disciplines need an equivalent ...
More than 150 techies packed the house at a Claude Code meetup event in Seattle on Thursday evening, eager to trade use cases ...
Coordinated multi-agent AI workflows can shift industrial operations from reactive firefighting into proactive, financially ...
Samsung sees many of the most promising AI applications in telecoms emerging where data, software and operational pragmatism ...
Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...
As electrical firms ramp up their use of artificial intelligence, some trends are emerging in why, where, how, and for whom.
Transformer on MSNOpinion

Against the METR graph

METR’s benchmark has become a bellwether of AI capability growth, but its design isn’t up to the task, argues Nathan Witkin ...
Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new ...
Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
As retail AI use cases mature, success increasingly depends on engineering capability and sustainable infrastructure ...
Happiest Minds is also developing a cross-industry AI platform to accelerate deployment of these solutions at scale. Happiest ...