AI
Tell richer stories, one node at a time This research introduces a node-based editor that lets you build a multimodal story as a graph—each “node” can hold text, images, audio, and video. You can expand, reorder, and refine nodes using plain-language prompts or direct edits. * Targeted edits: tweak a
AI
Imagine crafting a story like a mind map: each node can hold text, images, audio, or video. This research introduces a node-based editor that turns multimodal storytelling into flexible, AI-assisted creation. What it lets you do: * Edit any node directly or with plain-language prompts. * Auto-branch alternate plotlines for parallel storylines.
AI
Imagine crafting a story like a mind map: each node can hold text, images, audio, or video. This research introduces a node-based editor that turns multimodal storytelling into flexible, AI-assisted creation. What it lets you do: * Edit any node directly or with plain-language prompts. * Auto-branch alternate plotlines for parallel storylines.
AI
The "agentic web" is coming: billions of AI agents that buy, sell, and collaborate online. But who - and what - do we trust? This study compares six ways agents earn trust: * Brief: verifiable profiles/IDs * Claim: self-declared skills * Proof: cryptography and hardware attestations * Stake: collateral with slashing/
Robotics
Robots generate huge logs. This open‑source ROSBag MCP Server lets you ask an AI to analyze ROS/ROS 2 bag files in plain English—no custom scripts. It plugs into Model Context Protocol (MCP), so assistants can call purpose-built tools for robot data. Great for debugging, teaching, and research
In a nutshell Making ML run fast on every chip is hard. Different CPUs, GPUs, and accelerators need different tricks, especially with features like sparsity and quantization. Manual tuning is slow; many automatic tools are opaque. What’s new * PerfLLM + PerfDojo turn optimization into a reinforcement learning game guided by
AI
Can AI really make trading decisions in the messy, fast-changing real world? LiveTradeBench puts large language models to the test with live market data. * Live streams: Real-time prices and news—no offline backtests or leakage. * Portfolio view: Multi-asset allocation with built-in risk management. * Multi-market: U.S. stocks and Polymarket prediction
When instructions use ambiguous or mismatched terms, even smart LLMs can stumble. A new approach, the Language Graph Model (LGM), helps models clarify what users mean by mapping how concepts relate. * Inheritance: recognizing "a robin is a bird"—a family tree of ideas. * Alias: spotting different names for
AI
Researchers asked a simple question: given just your Big Five personality answers, can an AI “role‑play” how you’d score on other psychology questionnaires? Using responses from 816 people, large language models were prompted to generate answers on nine additional psychological scales. The patterns in the AI’s generated
ultrasound
Ultrasound comes in different "flavors" (grayscale and color flow Doppler), but clinical datasets rarely have both for every view. A new study trains a generative AI to "translate" between them—creating realistic videos to fill the gaps. Trained on 54,975 videos and tested on 8,
AI
What if AI could read routine MRI scans and predict a brain tumor’s genetics — no biopsy? This study pairs computational imaging with large language models (LLMs) to zero-shot predict IDH mutation status in gliomas. * Multi-parametric MRI plus tumor segmentation become interpretable visual attributes and quantitative features. * Those features are
ImitationLearning
What if AI could learn skills the way people do - by watching and copying? This new survey maps the fast-moving world of imitation learning (IL) in the deep learning era. * Data: from full expert trajectories to partial or unlabeled sequences. * New methods tackle big pain points: generalization, covariate shift,