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.
Hacker

Stop A/B Tests Early: The Complete Guide to Sequential Testing (mSPRT) in Python

I'm a Data Analyst, researcher and statistics enthusiast. This story contains new, firsthand information uncovered by the writer. Story's Credibility AI-assisted This story contains AI-generated text.
IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
IEEE

A robust deep learning strategy for long-term sequence mapping of BCG and ECG based on an optical fiber sensor

Abstract: Since cardiovascular diseases (CVDs) have become the leading cause of death globally, continuous heartbeat monitoring holds particular importance, especially for the elderly population; ...