J. Marc Overhage, M.D., Ph.D., who led the development of the HDU Capability Model, will become CEO of the Consortium for ...

When federal researchers tried to build an AI model to detect fraud in disability claims, they ran into a roadblock: they ...

At Dreamforce 2025, the spotlight was on how enterprises are moving beyond traditional business intelligence to a new era of agentic analytics—where intelligent agents help users interpret data, make ...

New natural-language query engine combines AI, vector search, and retrieval-augmented generation to deliver accurate, cited answers across ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, ...

Embeddable, compliant, and auditable AI agents unlock trusted automation for banks, insurers, and financial institutions.

Microsoft’s NLWeb bridges websites and AI agents. Learn how to make your schema work harder – powering smarter discovery and visibility.

Abstract: Zero-Shot Learning (ZSL) aims to identify unseen target classes that lack training data. Most existing methods address the ZSL problem by generating samples of unseen classes based on the ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding ...

How OpenRewrite uses Lossless Semantic Trees to deliver a full-fidelity representation of code, making transformations precise, repeatable, and auditable.

Abstract: Video, as an information carrier, provides a vast amount of important information to people. Therefore, the method of obtaining video becomes particularly important, which drives the ...

As a former teacher, I’ve seen firsthand that a student is only as good as the curriculum they are given. The same is true for AI. We often talk about AI models as if they're magical tools, but ...