Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Announcing the Fabricate Data Agent, synthetic data generation via agentic AI. Plus, Structural's Custom Categorical is now AI-assisted, and Model-based Custom Entities are coming to Textual!

LLMs can compose poetry or write essays. You can specify that these compositions are “in the style of” a noted poet or author ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

The government-led artificial intelligence (AI) foundation model project is intensifying its race as the four consortia in ...

To protect private information stored in text embeddings, it’s essential to de-identify the text before embedding and storing it in a vector database. In this article, we'll demonstrate how to ...

As AI content pollutes the web, a new attack vector opens in the battleground for cultural consensus. Research led by a Korean search company argues that as AI-generated pages encroach into search ...

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

DataVisor, an AI-powered fraud and risk management platform, released its 2026 Fraud & AML Executive Report, revealing an AI ...

Social engineering is evolving from Human to Human, to, Human to AI. But are we ready for this new threat? Remember the days ...