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.
IEEE

Semi-Supervised Support Vector Machine for Classification of Radio Frequency Signals in Unmanned Aerial Vehicles

Abstract: This paper presents an innovative approach to the development of a semi-supervised Support Vector Machine aimed at classifying radio frequency signals in the communication systems of ...