AI
Can we test moderation before it goes live? Researchers built an AI-powered simulator that replays the same online conversation under different moderation rules—like running parallel "what if" worlds—so we can measure how toxic talk changes while keeping everything else equal. * LLM agents act with striking psychological
Robotics
What if robots could learn new tasks just by watching AI-generated videos - and still obey physics? PhysWorld is a new framework that turns text-and-image prompts into physically executable robot skills. * It first generates a task-conditioned video from a single scene image and a command. * Then it reconstructs the scene&
AI
AI that sees, thinks—and uses tools Meet DeepEyesV2, a multimodal “agentic” model that doesn’t just read text and look at images—it can call external tools like code runners and web search, then weave the results into its reasoning. Key ideas: * Two-stage training: a cold-start phase teaches basic
AI
Meet your AI public-speaking coach Engineers need to explain complex ideas clearly, but personalized practice is hard to get. This research builds a multimodal AI trainer that analyzes both what you say and how you say it, then delivers targeted feedback at scale. * Verbal: pitch, loudness, pacing, intonation * Non-verbal: facial
AI
Meet LiveStar — an AI co‑host for live streams that understands what’s happening on screen and speaks up at the right moment. Most video AIs do great offline, but stumble live: they process frames slowly and interrupt or fall behind. LiveStar fixes that with: * Adaptive streaming decoding: keeps a
AI
Predictive maintenance means fixing equipment before it fails. But in the auto industry, messy maintenance logs—full of typos, missing fields, near-duplicates, and wrong dates—can derail the machine-learning models that power those predictions. This study tests large language model (LLM) agents as smart cleaners for those logs. The team
AI
Criminal justice data often record charges and outcomes—but not what actually happened. Yet many continental European verdicts spell out the facts. This study shows we can automatically pull those fact sections from public Slovak court decisions. The team tested two tools: 1) smart pattern‑matching that recognizes how courts
UrbanPlanning
Cities need AI that can explain itself Most planning AI spots patterns in data. The next leap is AI that helps choose sites, allocate budgets, and balance trade-offs—while showing its work. This paper introduces the Agentic Urban Planning AI Framework built on new reasoning methods like Chain-of-Thought, ReAct, and
AudioAI
Remixes, sped-up clips, and heavy compression make it hard to trace where music on social platforms comes from. This study introduces more robust neural audio fingerprints—compact “IDs” for audio—that can still recognize a song after it’s been distorted. * Music-first brains: Instead of training from scratch, the model
AI
As AI shapes decisions everywhere, learners beyond computer science need practical AI literacy. But too often, lessons are code-heavy or lecture-only—hard to access and easy to remember. A new study of AI User, a modular, no-code web curriculum, shows another path. Researchers reviewed Projects 5–8 on natural language,
AI
Ever heard of the “lottery ticket” idea in AI? It says big neural nets hide small subnetworks that can perform just as well. This paper proves a strong version of that for the heart of Transformers: multi-head attention (MHA). * The big claim: Inside a randomly initialized MHA, there exists a
AI
Ever heard of the “lottery ticket” idea in AI? It says big neural nets hide small subnetworks that can perform just as well. This paper proves a strong version of that for the heart of Transformers: multi-head attention (MHA). * The big claim: Inside a randomly initialized MHA, there exists a