DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Abstract: Large language models are also increasingly used in education, both by students and teachers. Newly introduced LLM-based tools, such as Codex, Code Llama, and Microsoft’s Copilot, show that ...

Abstract: Embodied intelligence, as an interdisciplinary frontier that integrates artificial intelligence and robotics, relies fundamentally on robust task planning capabilities to enable autonomous ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

Brandon is a professor of finance and financial planning. CFP, RICP, and EA, and a doctorate in finance from Hampton University. Risk-adjusted return measures an investment's profitability relative to ...