The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Big Tech Companies Jockey for LLM Supremacy By now, Wall Street investors are well aware of the race for artificial ...

A total of 91,403 sessions targeted public LLM endpoints to find leaks in organizations' use of AI and map an expanding ...

In 2026, the large language model (LLM) will no longer be sufficient on its own. Agentic AI is the next frontier in India’s ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

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

At Sharpa, our mission is to build robots that are useful in our daily lives. We believe robots should help us handle ...

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

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

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

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

Abstract: The integration of large language models (LLMs) with mobile edge computing (MEC) systems presents a novel approach to enhancing vehicle-to-everything (V2X) connected autonomous driving. This ...