AI
Decision trees (and ensembles like random forests and gradient boosting) make powerful predictions—but their reasoning can be hard to follow, which is risky in healthcare, finance, and other safety-critical settings. This paper shows how to turn those predictions into clear, formal explanations using Answer Set Programming (ASP), a logic-based
AI
TL;DR: Giving AI agents a "what happens next?" simulator doesn’t automatically make them smarter. Researchers tested whether agents built on vision–language models can use a generative world model—a tool that predicts future states—to preview outcomes before acting. * Agents rarely choose to simulate: in
AI
Building images and videos in ComfyUI is like wiring LEGO blocks — powerful, but easy to break when workflows get long and complex. ComfySearch is a new AI agent that automatically explores, reasons, and assembles ComfyUI workflows. It builds step by step, checks whether each piece runs, and adjusts on the
AI
Teaching video AIs to sweat the small stuff Text-to-video models often miss human-preferred details or waste compute learning from vague, whole-video feedback. LocalDPO, a new training recipe, targets the exact frames and regions that need improvement—no human labels or extra critic model required. * How it works: Use a real,
AI
New research examines how German criminal law could apply when generative AI is used to create child sexual abuse material (CSAM). The takeaway: legal risk isn’t limited to the user—it can reach model developers, researchers, and company representatives. The authors combine legal analysis with scenarios to show that
AI
Turning jailbreakers into the trapped Jailbreak prompts can trick chatbots into breaking rules. HoneyTrap flips the script: a deceptive, multi-agent defense that engages attackers, wastes their time, and keeps helpful answers flowing for regular users. * Threat Interceptor: spots risky prompts early. * Misdirection Controller: steers attackers into harmless honeypots. * Forensic Tracker:
AI
Meet Klear, an AI model that creates video and audio together—so lip movements match words, sounds land on time, and visuals stay coherent. It targets the sync and quality gaps seen in earlier open systems. What makes it work * Single‑tower design with unified transformer blocks and an "
AI
Deep neural networks are powerful—but often inscrutable. xDNN(ASP), a new method by Ly Ly Trieu and Tran Cao Son, turns a trained network into a human-readable set of logical rules using Answer Set Programming (a logic-based AI method). Unlike many explainability tools that only highlight which inputs mattered
NLP
Ever wish reviews told you exactly how people feel about the camera, battery, or price? That's aspect-based sentiment analysis (ABSA). Arctic-ABSA is a new family of reasoning-infused models built for real-world ABSA. Trained on a large blend of public and carefully generated synthetic data—about 20× the classic
AI
Can we reliably spot AI-written text? This study says yes—when we evaluate detectors the right way. Researchers built a unified, fair benchmark for AI-text detection by combining HC3 and DAIGT v2 and using a topic-based split to prevent “memorizing” subjects. That makes models prove they generalize to new domains.
AI
When floods hit, getting relief to the right farms fast is hard. Manual surveys are slow and can miss the big picture, while free satellite images are often too blurry to pinpoint crop damage. FLNet is a new AI approach that sharpens 10 m Sentinel-2 images to about 3 m
AI
AI assistants that click, type, and navigate apps need practice worlds — but real, trainable web environments are scarce. InfiniteWeb changes that by automatically generating realistic, multi-page websites at scale so GUI agents can learn real tasks, not toy demos. How it works * Unified specs: A single blueprint ties pages, flows,