Agentic AI is transforming Indian businesses. These autonomous systems can plan and execute tasks independently. For this to work, reliable data is crucial. Connected data architectures, like ...

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

The volumes of information generated from OT typically fall into two distinct categories: OT data includes things like piping and instrument diagrams (P&IDs), mechanical and electrical diagrams, work ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...

AI agents need enterprise context to produce reliable results. New developments unveiled at Atlassian's recent conference point to open knowledge graphs and libraries of how-to skills providing that ...

Learn how Neo4j and n8n simplify knowledge graphs for smarter data insights. Build AI-driven graphs for customer data and document navigation ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

False information, inconsistent connections, and even fabricated sources: the still unsolved problem of AI models.

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

Trump’s decimation of public health systems isn’t about efficiency, cost-saving, or even ideology. It’s about building a ...

The data center as we know it is being reimagined as an “AI factory” – a power- and data-optimized plant that turns energy ...

The integration of artificial intelligence (AI) into drug discovery is revolutionizing pharmaceutical research by providing sophisticated tools for understanding and predicting complex biological ...