Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
InfoWorld

What I learned as an undercover agent on Moltbook

Activity on the Reddit-style social network for OpenClaw agents raises serious cybersecurity and privacy concerns.
IEEE

A Multitask Learning Aspect-Based Model for Product Defect Detection

Abstract: Product defect detection (PDD) is a critical industrial Big Data application that leverages social media text mining to identify product defects. However, existing PDD approaches face ...
IEEE

Autonomous Deployment of Aerial Base Station Without Network-Side Assistance in Emergency Scenarios Based on Multi-Agent Deep Reinforcement Learning

Abstract: Aerial base station (AeBS) is a promising technology for providing wireless coverage to ground user equipment. Traditional methods of optimizing AeBS networks often rely on pre-known ...