Robotics
What's new PhysWorld lets robots learn skills from AI-generated videos—without collecting any real robot data. How it works * Given a task and one photo of the scene, a video model "imagines" a demonstration. * PhysWorld reconstructs a physics-based world from that video. * An object-centric learner turns
AI
Meet AdaRec: smarter recommendations from fewer clicks AdaRec is a new way to personalize recommendations using large language models. Instead of hand-crafted features, it turns your past interactions into short, readable stories—“narrative profiles”—and lets an LLM reason over them with just a few examples. It thinks in two
AI
Large language models can sound confident even when they are wrong. This study pinpoints a sneaky culprit: spurious correlations — statistical shortcuts like linking certain surnames to a nationality. Models absorb these patterns from data and then answer with high certainty, even when the link is false. What the researchers found
AI
DeepPersona in a nutshell Researchers built a generative engine that creates richly detailed, realistic synthetic personas for AI—without using private personal data. * Deeper profiles: Each persona includes hundreds of structured attributes and about 1 MB of narrative text—roughly 100x more detail than prior work. * Big taxonomy: A hierarchy
AI
In robotic surgery, a surgeon’s hands and eyes are busy. That makes it hard to pull up labs, flip through CT slices, or inspect 3D anatomy without breaking focus. This study introduces the voice-directed Surgical Agent Orchestrator Platform (SAOP): a coordinated team of AI agents that listens to spoken
Robotics
What if robots could decide how to grasp anything—tools, toys, odd-shaped parts—in real time? Lightning Grasp delivers orders-of-magnitude speedups for dexterous robotic hands, while keeping results diverse and reliable. The trick is a simple data structure called a Contact Field: it precomputes where and how fingers can safely
AI
Imagine telling your phone what you want—and an AI taps, types, and swipes to get it done. This paper introduces DigiData, a large, diverse, multi‑modal dataset designed to train general‑purpose mobile control agents. Instead of relying on unstructured user logs, the team systematically explores app features to
AI
TL;DR LoRA adapters are small plug-in modules that fine-tune big language models cheaply. But one adapter per task doesn’t fit messy, real-world inputs. What’s new LoRA on the Go (LoGo) lets a model pick and blend the best adapters for each individual input—no labels, no extra
AI
What if AI could argue with itself to spot misinformation—and change minds? Researchers introduce ED2D, an evidence-based multi-agent debate system. It doesn’t just label claims; it retrieves factual sources and generates clear debate transcripts so people can see the reasoning. * Outperforms prior methods on multiple detection benchmarks. * When
AI
Millions of U.S. patients with limited English proficiency face more than a “just translate it” problem. This study asks: how could AI help Spanish‑speaking patients—and where might it make things worse? * What they did: Interviewed 14 patient navigators using storyboards of AI for on‑demand translation and
AI
AI finally masters Stratego—on a budget Stratego has long been a worst-case test for AI: you must plan deeply while most pieces are hidden. Big-budget attempts still fell short of top humans. This paper reports a step change: an AI that reaches vastly superhuman Stratego performance—trained for only
AI
Big win for AI in hidden-information games. Stratego has long resisted top-tier AI—even with training runs costing millions. This new study cracks it. Researchers achieved vastly superhuman Stratego play using self-play reinforcement learning plus a smart test-time search designed for imperfect information. The surprise: it worked with only a