Meet AdaRec, a new way to build personalized recommendations with large language models that works even when you have very little data. Instead of hand-crafted features, AdaRec uses narrative profiling—it turns a person’s interactions into plain-language mini-stories the model can understand and explain. * Peer patterns (horizontal alignment): learns
AutonomousDriving
Teaching self-driving cars to spot the unknown Real roads are messy. To stay safe, autonomous vehicles must notice unexpected hazards—from a toppled ladder to a runaway stroller. That’s the challenge of out-of-distribution (OOD) segmentation. Seungheon Song and Jaekoo Lee propose a simple idea with big impact: use language
AI
Why do AI models sometimes sound sure while being wrong? This study spotlights a subtle culprit: spurious correlations—strong but misleading patterns in training data (like linking certain surnames to a nationality). * These shortcuts make LLMs produce confident, wrong answers. * Making models bigger doesn’t fix it. * Popular detectors—confidence
AI
AI personas that actually feel human What if our "AI citizens" behaved less like cardboard cutouts and more like real, diverse people? DeepPersona is a generative engine that builds rich, fully narrated synthetic personas at scale. It first assembles a large, hierarchical taxonomy of human attributes by mining
Voice-powered help in the robotic OR During da Vinci robotic surgery, surgeons' hands and eyes are fully occupied, making it hard to pull up scans or labs without breaking focus. A new system—Surgical Agent Orchestrator Platform (SAOP)—turns natural speech into on-screen actions, no clicking required. * "Show
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
When a self-driving car meets something unusual—a stray sofa, a blown tire—it must flag it as unknown fast. That task is called out-of-distribution (OOD) segmentation. What’s new * Text-driven learning: The model aligns images with language, tapping rich word knowledge to recognize a wider variety of objects. * Distance-based
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
FLASH: Sharper, faster LiDAR from low-cost sensors Turning sparse laser scans into rich 3D views is hard and slow—until now. FLASH (Frequency-aware LiDAR Adaptive Super-resolution with Hierarchical fusion) upgrades low-resolution LiDAR to high detail in real time. * Dual-domain smarts: Combines local spatial attention with global frequency cues via FFT,
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