A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

As the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver ...

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

Physical Intelligence’s Robot Olympics puts robots to the test with real household chores, revealing how close ...

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

Download the latest Karnataka 2nd PUC Computer Science Model Question Paper 2025–26 with answers. Master the DPUE blueprint, ...

Bharat Kumar Dokka spearheaded a comprehensive enterprise-wide SQL Server migration initiative across a major client's Administration Infrastructure project, successfully modernizing multiple ...

Access the query editor: You begin in Dune’s query editor, a dedicated environment for writing and executing code. Click “New ...

Oracle (ORCL) is well-positioned to benefit from AI adoption by leveraging its integrated infrastructure, database, and ...

As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...