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 breaks most RAG pipelines.
Le Lézard

Forsta Introduces Purpose-Built Market Research Agents That Accelerate Time to Insight by 50%

Forsta, a Press Ganey company and a leading provider of experience measurement, data analytics, insights, and market research technology, today introduced new AI agents in Research HX. The AI-powered ...

AirHop Delivers its AI-Powered Auptim® rApp Portfolio to Nokia MantaRay SMO Marketplace

AirHop Communications, the industry leader in AI-powered Radio Access Network (RAN) automation, today announced a pivotal ...
IEEE

Distributed Finite-Time Optimization Algorithm for Time-Varying Cost Functions Based on Multi-agent Systems

Abstract: This paper introduces a distributed finite-time optimization approach for convex optimization with time-varying cost function in multi-agent systems under an undirected and connected ...
IEEE

Distributed Real-Time Optimization for UAV-Based MIMO Communication System With Dynamic Cooperative Performance Adaptation

Abstract: This paper proposes a real-time dynamic optimization algorithm and controller design for a multi-node UAV-based distributed communication system, leveraging the phase and energy ...