AI
Generative AI is spreading fast—but not equally. UK survey data (2023–2024) shows women use GenAI far less than men, largely because they view its societal risks differently. * A composite “risk concern” index (mental health, privacy, climate, jobs) explains 9–18% of who adopts GenAI. * For women, this index
AI
Ever wished screen-reading AI would stop scanning every pixel and just tap what you asked for? FocusUI is a new method that helps vision-language models focus on what matters in app and web UIs—speeding them up without losing spatial precision. How it works: * Selects only instruction-relevant patches, down-weighting big
AI
Can creators of generative AI face criminal charges if users make child sexual abuse material (CSAM) with their models? A new multidisciplinary study of German law says: sometimes, yes. The authors examine realistic scenarios and find that liability may extend beyond the user to independent developers, researchers, and company representatives—
AI
Can video AIs guide real robots? Meet the WoW-World-Eval Embodied Turing Test Robots need 'world models' that predict what happens next. A new benchmark, WoW-World-Eval (Wow, wo, val), tests video foundation models on 609 robot manipulation samples across five skills: perception, planning, prediction, generalization, and execution. * 22-metric score
AI
Multi-agent AI systems can solve complex tasks, but over long runs they may slowly veer off course — a phenomenon this paper calls agent drift. As interactions pile up, behavior degrades, decisions slip, and agents stop aligning with each other. * Semantic drift: answers stray from the original intent. * Coordination drift: consensus
NLP
Arctic-ABSA brings aspect-based sentiment analysis closer to real life. Instead of only “positive/negative/neutral,” it adds nuance, multilingual reach, and reasoning for better business decisions. * Five classes: positive, negative, neutral, mixed, and unknown. * Finds aspect-level opinions and the overall tone in one pass. * Multilingual: one model holds 87–91%
AI
Meet Klear, a research system for generating video and audio together — with lips, speech, and actions that line up. The team tackles three common pain points in A/V generation: off-sync sound, weak lip–speech matches, and quality drops when one modality dominates. * One unified model: a single-tower design with
AI
LLMs can learn to reason—without task verifiers Many real-world problems don’t have automatic checkers to grade answers, even though we have lots of expert solutions. RARO (Relativistic Adversarial Reasoning Optimization) shows how to train reasoning skills from those examples alone. How it works: * A policy (the model) tries
Robotics
Robots guided by Vision-Language-Action (VLA) AI are getting better at everyday tasks—but most still use simple two-finger grippers. That limits them on smooth, flat, or handleless objects. VacuumVLA is a low-cost robot hand that merges a standard two-finger gripper with a vacuum suction cup. The robot can switch between
DrugRepurposing
Meet ChatDRex Finding new uses for approved drugs can save years and millions. But making those predictions usually takes teams of specialists and a tangle of tools. ChatDRex changes that. It’s a conversation-based, no‑code, multi‑agent system that lets clinicians and researchers ask complex bioinformatics questions in plain
AI
Large models are powerful, but solving deep, multi-step problems is pricey. ToolOrchestra trains a small “orchestrator” that decides which tools to use, when, and how—like a smart project manager for AI. It uses reinforcement learning with rewards for outcomes, efficiency, and user preferences. The result: an 8B Orchestrator that
AI
Small model, big wins Large language models are great generalists, but really tough, multi-step problems still strain both brains and budgets. ToolOrchestra flips the script: instead of one giant model, a small “orchestrator” coordinates other models and specialized tools. Trained with reinforcement learning that rewards outcomes, efficiency, and user preferences,