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
What if AI didn’t just flag false claims—but showed its work? ED2D is a new “multi‑agent debate” system where multiple AI voices argue and retrieve evidence to judge online claims—and explain why. * Outperforms prior methods on three misinformation detection benchmarks. * When ED2D is correct, its debunking
AI in healthcare must do more than translate Millions of patients in the U.S. who prefer Spanish or other languages face barriers that go far beyond words. This study asked 14 patient navigators how AI tools could help—or harm—care for Spanish-speaking patients with limited English proficiency (LEP)
Safer CT scans, clearer answers Low‑dose CT reduces radiation, but can introduce noise, blur, and contrast loss. LMM‑IQA is an AI system that scores image quality and explains what went wrong—using plain language. * Dual output: a numerical quality score plus text describing issues like noise, blur, or
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
What if we could A/B test content moderation without exposing real people? Researchers Giacomo Fidone, Lucia Passaro, and Riccardo Guidotti built an LLM‑powered simulator that runs parallel, counterfactual versions of the same online conversation—one with a moderation policy, one without—keeping everything else equal. This lets platforms
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
Meet DigiData: AI that can use your phone Imagine an assistant that taps, swipes, and navigates apps to finish tasks for you. This paper introduces DigiData—a large, diverse, multi-modal dataset built to train mobile control agents to do exactly that. * Richer goals: Instead of scraping random user logs, DigiData
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