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.

SPY Is Now A Tech ETF: Building A Quantitatively Optimized 'Strong Buy' Alternative

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...
IEEE

Privacy-Preserving Computation Offloading and 3-D Trajectory Optimization in Multi-UAV-Assisted MEC System

Abstract: Due to the flexibility in the deployment of unmanned aerial vehicles (UAVs), UAV-assisted mobile edge computing (MEC) systems have garnered significant attention in recent years. Users can ...
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 ...