Ad tech platforms likely know more about your executives than your security team does... and that information is available to ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

AI agents didn’t fail in 2025 — the plumbing did. Fixing it in 2026 means smarter logs, async workflows and richer data ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Abstract: The proliferation of unstructured text data necessitates efficient information retrieval systems. Traditional vector-based Retrieval Augmented Generation (RAG) models often fail to capture ...

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...