AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Healthwatch Rotherham says Emma AI system’s failure to grasp local ‘twangs’ is leaving people frustrated Patients in a South Yorkshire town are frustrated by AI GP receptionists not understanding their “broad accents”, a health watchdog has said. Healthwatch Rotherham, a local health and social care watchdog, said a number of practices in the area had introduced a new AI receptionist called Emma. Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Your code never leaves Europe 20% faster inference, with no accuracy tradeoff Compliant, verified, and secure, down to the GPU Cut AI coding spend up to 10x No operational control Inference location, security, and under…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Nutrition standards for AI-designed foods across borders open Kenya, Africa WS05047 Algorithmically designed foods may optimize cost, taste, shelf life, or emissions while neglecting long-term health and cultural accept…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Play in Rhaenyra House Dragon post Season 3 — WorldArchitect.AI ⚔️ WorldArchitect.AI · Shared World Rhaenyra House Dragon post Season 3 "House dragon tv show season 3" Play in this world → 📜 Read world overview House o…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 1 Star 5 BranchesTags Open more actions menu Latest commit History 70 Commits 70 Commits Folders and files NameName Last commit message Last commi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Weeping willow trees are found in many cities globally. Credit: avada/Alamy Across Beijing, millions of weeping willows and poplar trees turn the megacity into a green metropolis. But compounds released by these trees a…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：This tutorial provides an end-to-end workflow for fine-tuning language models using Direct Preference Optimization (DPO). We demonstrate how to audit the Anthropic HH-RLHF dataset for structural and length-based biases, implement a robust training pipeline using TRL and LoRA, and evaluate model performance to ensure genuine preference learning rather than reliance on lexical shortcuts. The post Auditing Preference Biases and Fine-Tuning Language Models with Direct Preference Optimization on Anthropic HH-RLHF Using TRL and LoRA appeared first on MarkTechPost.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：JetBrains Research Research is crucial for progress and innovation, which is why at JetBrains we are passionate about both scientific and market research About JetBrains Research Agentic AI AI AI Coding Agents: Adoption…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A Florida police officer has been arrested after allegedly using AI-powered Flock cameras to track his estranged wife’s vehicle 717 times. Christopher Goodson, 31, of the Haines City Police Department, is charged with o…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Autonomous Security Agent - Continuous, Exploit-Validated Pentesting Autonomous Security Agent · meet Sentinel The intelligence of a hacker. The discipline of a machine. Sentinel is an AI employee that pentests your app…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Introducing AI Futures, a new OpenAI blog exploring how transformative AI could reshape power, governance, the economy, and individual freedom.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 3 Star 11 BranchesTags Open more actions menu Latest commit History 75 Commits 75 Commits Folders and files NameName Last commit message Last comm…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Drawing on a network of cameras that logs the movements of drivers in more than 6,000 communities, the tool can pick out potential witnesses by how often their cars pass through a neighborhood, or surface a driver’s “as…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Latest commit History 5 Commits 5 C…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Every lab CEO is on X now

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：In late 2025, we ran an experiment to answer one question: “Can coding agents autonomously solve a production-grade problem from scratch on their own?” For this, we tasked two agents with the (at that time) best publicl…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：SeedSQL — Relational SQL Mock Data Generator

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：For most of modern history, technology sought to imitate humans. Humans increasingly seek to imitate technology Two faces that appeared on my Instagram feed in recent months gave me pause. One belonged to John Travolta at Cannes. The other to Carla Bruni on a date night with her husband, former French President Nicolas Sarkozy. Both looked recognisably themselves, yet, they both also looked oddly unfamiliar. Their looks have provoked speculation about cosmetic enhancement, though never acknowledged by them. Bruni has previously denied having had work done. In any case the feeling lasted only a second: a flicker of unease, as though I were looking at people who had become approximations of themselves. Joseph de Weck is an associate fellow with the German Council…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18433v1 Announce Type: new Abstract: Robot foundation models (RFMs), including vision-language-action (VLA) policies, are often discussed through a scaling view: more data, larger models, and broader benchmarks should improve generalization. In robotics, however, a model can generalize while work still remains before it can run on a robot with a particular body. The work required differs across methods and target robots, and those differences affect practical deployment. We call the gap between reusable models, representations, or data and their use in execution on the target robot the embodiment gap. This survey examines what can be reused across robot embodiments and what must still be implemented on a new robot. We place existing methods on a two-…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18364v1 Announce Type: new Abstract: Pneumatic artificial muscles have provided new opportunities to develop upper-extremity soft exosuits for reha- bilitation, augmentation, and assisted daily living. However, the complex dynamics and limited bandwidth of these actuators has made providing responsive assistance based on user intention a longstanding challenge. In this work, we present an inverse-plant control strategy for pneumatically actuated soft exosuits that only relies on kinematic sensing for task-agnostic and dynamic assistance during daily living. We model the human-robot system using a Hammerstein dynamic model, consisting of a Preisach hysteresis model and a linear time-invariant filter, to capture the static and dynamic behavior of the s…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18292v1 Announce Type: new Abstract: Consider a robot guide dog escorting a blind user to an available seat while a second assistive robot dog concurrently retrieves a cup of coffee and delivers it to the same seat. This setting motivates concurrent execution because navigation and object retrieval can overlap. A syntactically valid Large Language Model (LLM) plan may still violate embodiment constraints, and successful-looking controller motion does not by itself establish task completion. We introduce \textsc{GuideFetch}, a coordination framework for concurrent navigation and object retrieval by a heterogeneous guider and fetcher team. An LLM instantiates a schedule-conditioned four-action schema from a natural-language instruction. Before executio…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18270v1 Announce Type: new Abstract: Reliable tool--tissue contact detection can support interaction-aware control and downstream force estimation in robot-assisted surgery. Most existing methods learn a contact classifier from RGB appearance, which is hard to generalize. In this work, we use the depth image generated from a stereo pair to give more information about tool--tissue contact. For each depth frame, we localize a spatially supported minimum-distance patch around the tool boundary and reduce it to a single scalar, $-\log_{10}|d|$; this signal rises and falls in step with ground-truth contact. We formalize this observation with a fully supervised two-state hidden Markov model. We fit this model as a six-fold leave-one-session-out (LOSO) ense…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18258v1 Announce Type: new Abstract: Robot-Assisted Feeding (RAF) systems are essential for assisting individuals with disabilities or motor impairments in eating tasks. Manipulating granular food items, such as rice and beans, poses significant challenges due to their dynamic physical properties. Learning from human demonstrations offers a promising solution, but acquiring high-quality demonstrations is complex. To address this, we present VERAGMIL, a framework that combines a high-fidelity simulator with an intuitive Virtual Reality (VR) interface for recording demonstrations and supporting different imitation learning methods. VERAGMIL provides a realistic environment for training RAF systems to handle granular materials, including robots, sensors…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18254v1 Announce Type: new Abstract: Trajectory planning for autonomous driving requires both high-level reasoning and precise low-level control. Large Language Models (LLMs) offer semantic-rich planning capabilities, however, their application is limited by hallucinated reasoning, poor grounding in environment dynamics, and limited numerical precision in control. We propose GAPL (Grounded Action-effect Policy Learning), a unified framework that integrates LLM-based effect estimation, simulation-based effect grounding, and policy optimization into a closed-loop system. GAPL consists of three modules: (1) an LLM-based Effect Evaluator for structured multi-dimensional action-effect estimation; (2) a Simulation-based Effect Grounder that predicts dynami…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18234v1 Announce Type: new Abstract: Whole-body motion tracking policies turn a humanoid into a robust control interface: the teleoperator---or an upstream model---only supplies a coarse movement intent, while the low-level policy keeps the robot balanced and physically feasible. Existing trackers deliver this interface only on flat ground: trained in empty scenes, they never learn how contact with terrain and objects reshapes their dynamics, and they attempt to teach the policy to balance under any command by continually enlarging the reference-motion corpus, which stops working once feasible behaviors become environment-dependent. We present GigaBrain-WBC-0.5, the first Behavior World Model (BWM) for humanoid whole-body control. Rather than a purel…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.18227v1 Announce Type: new Abstract: Push-T is an iconic benchmark for learning manipulation policies from human demonstrations. The robot must use a single point of contact to push a T-shaped block into a target pose. In this short paper, we revisit the Push-T task in the context of emerging advances in Agentic Robotics where an LLM coding agent -- Claude Code with Fable 5 -- is prompted to create an algorithmic solution that does not require any demonstration data. We study how effective the agentic coding loop can solve the Push-T task, and compare the resulting code as policy with the visuomotor imitation learning policy. Results suggest that the agent found the 2D gym simulation online, and used sim experiments to learn push mechanics, iterative…