Test-Time Diffusion Deep Researcher: Ushering in a Human-Like AI Research Paradigm Introducing Test-Time Diffusion Deep Researcher (TTD-DR) framework an AI assistant that doesn't just gather information, but actively thinks, revises, and refines its work, much like a skilled human r... AI research draft refinement large language models multihop reasoning research automation retrieval augmentation self-evolution test-time diffusion
MIT’s CodeSteer Is Coaching AI to Outsmart Complex Problems MIT researchers have built CodeSteer, a smart assistant designed to help large language models (LLMs) seamlessly alternate between generating text and writing code by utilizing a "coach" to evaluate t... AI code generation CodeSteer large language models machine learning MIT research problem solving symbolic reasoning
AI in Radiology: RadGPT is Making Medical Reports Patient-Friendly Medical reports, especially those in radiology, are often filled with terminology that can overwhelm even the most diligent patient. Now, Stanford researchers are changing the landscape with RadGPT , ... AI healthcare large language models medical reports patient communication RadGPT radiology Stanford research
Themis AI Is Teaching AI Models to Recognize Their Own Uncertainty Artificial intelligence is making waves in critical industries, yet a major challenge remains: most AI systems struggle to recognize and communicate when they are unsure. The risks become clear in hig... AI uncertainty bias detection drug discovery edge computing large language models machine learning model reliability