AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

That is the number of major research articles that bear the name of Venkata Vijay Satyanarayana Murthy Neelam-the ...

The next phase of the web depends on shared AI standards, and these four protocols are quickly becoming the foundation ...

Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...

Edge, the leading open source enterprise Postgres company, today announced general availability (GA) of the pgEdge MCP Server ...

Karpathy, a co-founder of OpenAI and a former director of AI at Elon Musk’s Tesla, has proposed that users can deploy this ...

Depending on the industry where AI is deployed, model data drift can have alarming consequences ranging from financial to ...

Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the ...

We used Tonic Fabricate to generate a fully synthetic email corpus, then RL fine-tuned an open-source model against it. The ...

AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.