Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...
Could the Future of Privileged Access Management Lie in Non-Human Identities? Where the number of machine identities is rapidly expanding, the need for advanced management solutions becomes more ...
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
To understand the role of storytelling in contemporary pop music, researchers at UC Berkeley created a machine learning ...
Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...
Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
The economic role of customer data has changed. For more than a decade, first-party data has been treated as a cost of doing business. Brands collected it, stored it, protected it, and activated it ...
Pfizer, Eli Lilly, Novartis, Bristol Myers Squibb and AstraZeneca are all ramping up the use of AI, but drug discovery is not the primary success story—yet.
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