During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow ...

In an everchanging, challenging landscape, sports betting companies have the opportunity to use marketing strategies in their ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

According to Andrew Ng (@AndrewYNg), the new Agentic AI course on deeplearning.ai teaches practical skills for building AI agents, a rapidly growing area in the job market. The curriculum covers four ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. ‘Not Constitutional’: Trump Threatens Blue Slip Suit Warren Buffett suggests all ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...