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：Comments come after court on Monday rejected the president’s mail ballot restrictions ahead of the November midterm elections Supreme court rejects Trump’s mail ballot restrictions for midterm elections Hello and welcome to the US politics live blog. Lawmakers have given their support to the supreme court’s rejection of Donald Trump’s bid to restrict mail ballots for the midterm elections. Mitch McConnell, the 84-year-old former Senate majority leader from Kentucky, was seen in Washington for the first time in months on Monday, minutes before his office released a statement saying that he was back at work. With a slip of the tongue reminiscent of Joe Biden, Gavin Newsom, California’s Democratic governor, told CNN that he would not run for president in 2028 if h…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Across the US, anti-datacenter organizers are harnessing community anger to win local elections After four months of teach-ins and canvassing, Steven Kung helped Monterey Park, just east of Los Angeles, become the first US city to ban datacenter construction. Now, the organizer is running for city council – and he’s taking on an incumbent who supported the development of the sprawling facility. “The datacenter coming to my neighborhood turned my life upside down,” said Kung. “I saw that there’s a dismantling of democracy at a local level.” 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：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：Party leader claims proposed new retrospective laws are unfair and Reform would retaliate with a crackdown on union funding if elected Jonathan Reynolds has said that people should not get “hyperbolic” about the risks posed by AI. Speaking ahead of Louise Haigh’s speech to the TUC later, which will address the topic (see 9.31am), and in the light of the ongoing concerns expressed by AI experts about the risk of AI models posing a threat to humanity, Reynolds told the Today programme: This is extremely powerful technology, and I think we should never be complacent or naive about the impact it might have. People will be worried by some of the things they’ve heard in the last few weeks, and I think we’ve got to be careful not to get hyperbolic about this either. B…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care | NVIDIA Blog Skip to content Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care September 15, 2026 by Isha S…

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：Safety requirements are non-negotiable. They depend on meeting concrete goals, not just adjusting a timeline It has been a week of high drama in AI, precipitated by the resignation of the AI safety researcher Jacob Coxon from Anthropic. This followed several weeks of increasingly lurid and disturbing revelations about the OpenAI/Hugging Face incident. My inbox yesterday included a message from Business Insider with the subject line: “AI doomsday debate reaches boiling point”. 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：From Stephen Hawking to Jacob Coxon’s viral Anthropic resignation, fears that AI could threaten humanity have shaken the industry without stopping its pursuit Before an Anthropic researcher resigned and declared human extinction imminent last week, tech leaders and scientists had sounded the alarm about a superintelligent AI ending humanity for over a decade. The development of artificial intelligence “could spell the end of the human race”, warned professor and astrophysicist Stephen Hawking in 2014 – a little less than a decade before the public got its hands on the generative AI features of the original version of ChatGPT. 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：Louise Haigh will set out benefits of AI to TUC conference while vowing government will take safety seriously Ministers must “heed the warnings” from industry leaders about the threat posed by AI as it looks to capitalise on the technology, the first secretary, Louise Haigh, will say on Tuesday. Labour MPs and peers have called for the government to further cooperate with international partners to build regulation for the technology, after three Anthropic researchers warned that artificial intelligence could kill off humanity within the decade. 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：President has dismissed anxieties over AI’s dangerous potential even as Democrats and some Republicans acknowledge risks Donald Trump is facing a rare backlash from the US Congress as Democrats and some Republicans push for guardrails on the world’s most powerful AI companies. Concerns over the dangerous potential of AI reached fever pitch this week after tech leaders sounded the alarm over the rapid advancement of the technology and its potential threat to humanity. 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：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：Pacing gathers pace.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Meta engineering team introduced ZGateway, a proxy tier that now sits between client applications and ZippyDB, the Meta’s most widely used key value store. ZippyDB backs product metadata, counters, and configuration at billions of operations per second. ZGateway started as a fix for connection sprawl across more than a million client hosts and grew into […] The post Meta Introduces ZGateway: A Stateless Proxy Tier That Unifies ZippyDB Traffic and Handles Over 1 Billion Operations Per Second 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：Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public-facing business agents. So, basically you give it your website, get an agent, and let it talk to other agents. Instead of writing orchestration code, a business fills in […] The post Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent 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：A series of figures in the tech world have been warning about – and even resigning over – the existential threat posed by artificial intelligence. How worried should we be? Today in Focus host Annie Kelly speaks with technology editor Robert Booth 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：arXiv:2609.13290v1 Announce Type: new Abstract: Achieving biological-level running speeds has largely been pursued through advances in control algorithms, which improve the utilization of existing hardware. However, the ultimate speed limits remain governed by the underlying force and torque requirements of rapid locomotion, which are typically addressed through increased actuator capacity. Inspired by Huygens' coupled pendulums, we demonstrate that superior locomotion can emerge from principled exploitation of intrinsic dynamics rather than brute-force hardware scaling. Inter-limb inertial coupling redistributes energy across the gait cycle and reduces peak joint torque required for rapid periodic motion, thereby expanding the achievable speed without proporti…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13289v1 Announce Type: new Abstract: Achieving high-speed locomotion in quadrupedal robots remains highly challenging, as actuators operate near their physical limits and exhibit pronounced nonlinearities. However, many existing methods neglect actuator nonlinearities and physical constraints during training, leading to a significant sim-to-real gap under highly dynamic motions and limiting achievable performance. To address this issue, we propose a high-speed locomotion framework that reduces sim-to-real discrepancies and stabilizes learning over a wide command distribution. A refined actuator model explicitly captures high-speed voltage coupling and magnetic saturation, enabling a more accurate representation of the torque-speed envelope. In additi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13270v1 Announce Type: new Abstract: In distributed model predictive control for multi-drone collision avoidance, a fixed prediction horizon forces a compromise: a short horizon is inexpensive but reacts late to approaching neighbors, whereas a long one anticipates conflicts at a per-step cost that grows superlinearly with its length. We propose a conflict-predictive variable horizon that each drone sets locally, leaving the distributed model predictive control itself unchanged. From a short history of observed positions, a drone extrapolates the flight lines of its neighbors, tests each against its own using confidence funnels that narrow with prediction range, and obtains each time to conflict in closed form. The horizon is then the smallest admiss…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13244v1 Announce Type: new Abstract: We study dark manipulation: after a brief lit Write encodes z0 = Enc(rgb), a policy pi(z) and open-loop dynamics f(z,a) complete contact-rich skills without further pixels (dark_f). On ManiSkill StackCube (n=160; seed packs 0/1000), dark_f attains 68.1% stacked on the five-rung chain (near_A -> grasped -> lifted -> on_B -> stacked), compared with 35.6% for per-step lit_reenc and 0% for freeze/encode_black. On a shared Write->HOLD protocol (n=40), occlusion and camera-aligned GT contact-neighbor masks drive lit lift from 43% to 0%, while dark_f holds 82.5%; shuffling actions inflates dynamics MSE by ~9.4x; write-time appearance shifts break encoding (night: 0% stacked), yet the same shifts during HOLD leave dark_f…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13243v1 Announce Type: new Abstract: We present GzDRL, a novel single-process reinforcement learning (RL) framework for Gazebo that overcomes longstanding bottlenecks in scalable, reproducible robotics experimentation. Unlike conventional middleware-based RL-Gazebo integrations that suffer from nondeterminism and irreproducibility, GzDRL introduces a systematic, middleware-free environment-stepping mechanism that directly synchronizes agent actions and physics updates. This design enables deterministic, high-throughput data collection, efficient vectorization, and reproducible RL training and evaluation. Comprehensive benchmarks demonstrate that GzDRL achieves the highest workstation throughput among the evaluated frameworks while remaining competiti…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13236v1 Announce Type: new Abstract: Humanoid robots are becoming an important part of embodied artificial intelligence, driven by advances in reinforcement learning for locomotion, world models for prediction, and vision-language-action models for general control. However, most of these systems remain static after deployment. A policy is trained offline for a fixed objective and then frozen, even though the tasks, environments, and robot bodies keep drifting over time. An emerging paradigm of self-evolving agents aims to address this problem by allowing systems to improve from their own post-deployment experience. Since most existing studies focus on disembodied software agents, this survey examines how self-evolution changes when an agent has a phy…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13235v1 Announce Type: new Abstract: Networked manipulation endpoints couple perception to actuation across compute- and bandwidth-limited links, yet commonly exchange dense geometric states optimized for fidelity rather than action outcomes. A stochastic representation is learned with a policy-free, action-conditioned outcome bottleneck: marginal outcome log-loss supplies distortion and a KL term regularizes rate. The construction is motivated by the minimal statistic that preserves the outcome distribution of every admissible action, while the implemented finite model is evaluated as a rate-regularized mixture predictor. The same encoder and outcome head support grasp selection, singleton conformal filtering, active viewpoint selection, and latent…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13234v1 Announce Type: new Abstract: Industrialized construction imposes stringent precision requirements on robotic assembly of modular components such as prefabricated window units. In tolerance-critical operations, the central bottleneck is not only mechanical clearance but also converting tacit installer expertise into data-efficient autonomy under sparse acceptance feedback, contact variability, and millimeter-scale constraints. We present an installer-in-the-loop interactive reinforcement learning framework that acquires expertise through offline teleoperated demonstrations, sparse event-driven binary takeovers at contact-failure boundaries, and acceptance-aligned terminal rewards, logged under a unified schema for traceable offline-to-online a…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13231v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models demonstrate strong generalization in robotic manipulation and navigation, but existing fine-tuning methods provide limited safety guarantees. Current approaches primarily rely on Lagrangian optimization that enforces safety through soft penalties on expected cumulative cost, often resulting in residual constraint violations or overly conservative behavior. Moreover, learning safety in visual domains is challenging due to the absence of dense per-step safety annotations. We propose ShieldVLA, a safety-aligned fine-tuning framework for VLA models based on Hamilton-Jacobi (HJ) reachability. ShieldVLA learns a model-free approximation of the HJ reachability value function directly f…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13224v1 Announce Type: new Abstract: Autonomous vehicles are expected to improve road safety and efficiency, but passengers often remain uncertain about what the vehicle perceives and why it acts as it does. Virtual reality (VR) offers a safe and repeatable medium for presenting this information, yet most passenger-facing VR studies rely on fully simulated vehicles or pre-scripted scenarios, so the motion and perception shown to the user do not originate from a physically operating autonomous system. This paper presents a video-augmented VR framework that couples a physical ROS 2 autonomous robot vehicle to a Unity 6 application deployed on a Meta Quest 3S headset. The vehicle state and live onboard camera stream are transmitted over two independent…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13245v1 Announce Type: new Abstract: Speculative Jacobi Decoding (SJD) is an important approach for accelerating autoregressive image generation. Although SJD has shown superior performance, recent studies point out that it usually suffers from a token ambiguity issue during token verification but its reason can not be well explained. To figure out this reason, in this paper, we conduct a visualization analysis on vision token and find that different from text tokens, vision tokens generally corresponds to some local, small, and unclear vision details, which means only using single token is difficult to accurately express a certain semantic, thereby causing token ambiguity issue. To this end, we propose a novel Speculative Jacobi Decoding with Semant…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13240v1 Announce Type: new Abstract: The AffectiveArt Multidimensional Art Emotion Understanding task asks to jointly predict an artwork's fine-grained emotion (12 classes, 1549:1 head-to-tail ratio), binary valence/arousal, and five attribute-grounded descriptions -- sub-tasks that exhibit strong empirical trade-offs, so the single-model solutions we tried do not jointly optimize all of them well. We present ArtSociety, a multi-agent framework that assembles heterogeneous multimodal experts -- a DINOv2-Giant vision agent (A1), a scene-grounded CoT fine-tuned MLLM (A2), and three closed-source reasoning agents (A3-A5) -- and coordinates them with two training-free controllers: (i) a rare-class-aware voting arbiter that lowers the agreement threshold…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13239v1 Announce Type: new Abstract: Diffusion models represent one of the most advanced paradigms in generative modeling. Leveraging their development, a growing number of style transfer methods based on diffusion models have been proposed. However, among these methods, multi-image style transfer approaches that require at least five to ten style examples tend to achieve more satisfactory results. Single-image methods, by contrast, often struggle with either insufficient content preservation or inadequate style fidelity. This greatly limits style extraction from scarce artworks and undermines their artistic value. To address this, we propose Abstract-LoRA, a method that pushes the boundaries of single-image style transfer through lightweight LoRA tr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.13237v1 Announce Type: new Abstract: Orthodontic report generation from intraoral data is normally cast as multimodal captioning, yet the released Bite2Text scan pairs are supplied already registered in occlusion, which makes several core occlusal quantities directly measurable rather than inferable. The system reported here exploits that property: an anatomical frame is recovered per case from arch taper and arch closure instead of the stated RAS convention, which does not hold across the release, and each arch is reduced to an occlusal ridge profile in arch-angle coordinates yielding overbite, overjet, midline deviation, transverse overlap, crossbite extent, cusp interdigitation lag, and the occlusal curves in closed form. Gradient boosting maps 31…