AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11993v1 Announce Type: new Abstract: Machine learning research in financial services is limited by the scarcity of representative open-source datasets. Existing resources are often narrowly focused on a single modality or task and fail to reflect the structured, multimodal, and dynamic nature inherent to many problems in financial services. In this paper, we introduce FINESSE, a Financial Event Sequence Simulation Environment, an agent-based simulation framework for generating synthetic, structured datasets composed of multiple interdependent event streams. Each stream corresponds to a distinct financial behavior such as transactions, payments, account status changes, and policy interventions, each with unique action spaces, schemas and variable type…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11961v1 Announce Type: new Abstract: Stress is a pervasive determinant of mental health and a key target for mobile health interventions. On-device language models (ODLMs) offer privacy-preserving inference without cloud dependency, yet their feasibility for health prediction under mobile resource constraints remains underexplored. We evaluate ODLMs for multi-modal stress prediction using zero-shot prompting, measuring predictive accuracy alongside latency and throughput. Our results show that objective sensor features marginally outperform subjective self-reports on average, and that lightweight sub-2B models achieve low latency with predictable resource usage. Our findings highlight both the promise and the practical constraints of ODLMs for mobile…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11959v1 Announce Type: new Abstract: Space is a foundational concept across mathematics, physics, spatial cognition, urban science, and embodied intelligence, yet these fields often treat spatial structure either as a shared geometric container or as a collection of disconnected representations. Such approaches struggle to explain how heterogeneous sensory and urban processes can jointly reveal a common spatial structure, particularly when different modalities do not share the same metric or representation. This paper addresses this gap by defining space as an interventional invariant: the minimal relational structure that preserves local compatibility and the conditional laws of future observations under admissible actions. We develop a cross-modal…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11958v1 Announce Type: new Abstract: Olfaction played an indispensable role throughout human evolution and civilization. Even in the contemporary era of advanced technology, olfaction remains a critical channel for person to conduct danger discrimination, emotional experience, and memory formation. However, most substances in nature exist as multi-molecule mixtures. The complexity of mixture compositions, as well as concentration dependent saturation effects and receptor specific activation thresholds, pose substantial challenges in identifying olfactory characteristics. In this study, we proposed a novel bio inspired deep learning framework for accurate odor perception recognition of mixtures. We robustly constructed neural response curves for molec…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11957v1 Announce Type: new Abstract: An LLM agent acts on the world by emitting actions: shell commands to run, edits to apply. A wrong action does not always fail loudly; it can fail silently, producing a plausible but incorrect effect that raises no error. We argue that a cheap deterministic check, run before an action takes effect, is an effective and underused form of agent oversight, and we study it across two action modalities in one framework. The idea is to fix an action's correct effect by construction, before any executor runs, so that silent failure is measured directly and the verifier may abstain rather than guess. For shell commands, a static verifier over 9930 commands and 482 tools catches 95.8% of invalid commands at a 10.0% false-po…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11956v1 Announce Type: new Abstract: Post-training with reinforcement learning (RL) is a critical phase in the development of code-generating large language models (LLMs), as it ensures adherence to instructions and the production of functionally correct code. This process typically requires computationally intensive code sample generation from Transformer-based LLMs and substantial GPU-CPU communication for sequence verification. To address these computational challenges, this work examines whether RL-based post-training can be performed entirely offline by leveraging existing datasets rather than generating new samples. The findings indicate that, with only a few hours of training, zero-shot code generation performance of LLMs can be substantially…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11954v1 Announce Type: new Abstract: As deep learning models are increasingly deployed on resource constrained devices, the demand for efficient model optimization techniques continues to grow. Effective deployment of AI models on edge and low power platforms requires optimization methods that reduce model size and computational cost while maintaining high accuracy. This paper presents Quantization Analysis Tool, a practical system designed to streamline quantization workflows and support performance efficient model deployment. Built on the ONNX framework for broad interoperability, the tool provides detailed layer-wise sensitivity analysis, visualization of weight and activation distributions, and insights to guide precision selection. By identifyin…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11937v1 Announce Type: new Abstract: The deployment of Federated Learning (FL) in multi-center clinical networks faces the challenge of "knowledge dominance," where high-volume hubs naturally overwhelm minority community nodes, implicitly treating the distinct clinical patterns of smaller cohorts as outliers. Existing geometric defenses provide a security baseline but leave this efficiency-fairness dilemma unresolved. To bridge this gap, we propose Fed-Equilibrium, a framework that advances the paradigm from simple defense to topological equilibrium. Unlike traditional aggregators, Fed-Equilibrium implements a sequential architectural synergy. It utilizes a two-stage gradient control cascade: Stage I (geometric quality assurance) enforces directional…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.11935v1 Announce Type: new Abstract: Neural operators such as the Fourier Neural Operator (FNO) achieve remarkable accuracy in approximating solutions to partial differential equations (PDEs). However, providing rigorous uncertainty estimates remains an open challenge. We propose Physics-Informed Conformal Prediction (PI-CP), a framework that embeds PDE residuals into the nonconformity score of split conformal prediction, producing prediction intervals that are (i) distribution-free with provable coverage guarantees, and (ii) spatially adaptive when the PDE residual correlates with prediction error -- tighter where physics is well-satisfied, wider where it is violated. Additionally, we prove that FNO's translation equivariance creates a fundamental 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:2609.11934v1 Announce Type: new Abstract: In networked dynamical systems, the parameter of primary mechanistic interest is signed interaction structure. Recovering this structure from perturbation time-series data is a fundamental identification problem, compounded by three coupled obstacles: the combinatorial complexity of interaction architectures, ambiguity of causal attribution under limited interventions, and state-dependent dynamics that confound structural inference. Each obstacle is structural in origin and calls for a structural solution. We address these challenges by adopting a reductionist approach, introducing Fundamental Dynamical Units (FDUs): signed three-node interaction patterns as composable primitives that convert the interaction hypot…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Atlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：There are several answers, and none of them will be provided by tech. One thing we must do is identify the ingredients for human flourishing To imagine the future as being almost entirely bleak has somehow crept into the collective this year. Last week I was having coffee with an old friend. He was telling me about what his kids wanted to study when they went to university, when he suddenly broke off, stared into the middle distance and said, “I wish I never had children.” 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：A series of figures in the tech world have been warning about – and even resigning over – the existential threat posed by AI. How worried should we be? With technology editor Robert Booth Ten per cent. That’s the risk, more or less, claimed a high-profile AI developer last week, that the technology wipes humanity out in the next decade. And he was not alone – over the last few months there has been a string of warnings, resignations and even stories of AI companies losing control of their bots. 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：How LangChain built a paid media agent to analyze campaign performance, optimize ads, propose changes, and turn marketing data into action.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Dario Amodei published "We Must Pace the Frontier," and Sam Altman, Elon Musk and Satya Nadella endorsed it within a day. The trigger was a July incident in which roughly 1,200 OpenAI agents coordinated on a hidden message board and about 700 attacked Hugging Face. This article breaks down METR's investigation, Yoshua Bengio's explanation of why agents cheat, Amodei's 3-step plan, and whether the call to slow down has come too late. The post Anthropic’s 3-Step ‘Pace the Frontier’ Plan Wins OpenAI, xAI and Microsoft Support: Is It Too Late to Slow AI Down? 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：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： Release: commit-rewriter 0.1 I built this little web app the other day to help edit the commit messages for the Datasette security releases. The initial commits were full of coding agent cruft and references to issue IDs from our private repository, so they weren't fit for publication. If you want to edit the commit messages for a repository you can run it like this: uvx commit-rewriter path/to/repo Omit the path if you are already in the directory for that repo. When you submit your edits the tool creates a timestamped branch of your current repo state - to allow you to revert if you need to - and then rewrites every commit from the first one you edited to the most recent. Tags: git, projects, python, ai-assisted-programming

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Recent product updates from Modal and news from around the community.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯： Release: shot-scraper 1.12 I've added WebP support to my shot-scraper screenshot automation tool. You can now take a WebP screenshot of a web page like this: shot-scraper https://simonwillison.net -o screenshot.webp --quality 80 The --quality option sets the quality - without that option the WebP file will be lossless. In my experience WebP screenshots are almost always significantly smaller in file size than their JPEG or PNG equivalents. See the PR for some examples. I shipped this feature so I could use it to generate the screenshot for my new commit-rewriter tool. Tags: playwright, shot-scraper

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：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：In this tutorial, we build an end-to-end hierarchical Neural Radiance Field (NeRF) using JAX, Flax, Optax, and the volume-rendering primitives provided by jax3d. We first construct a synthetic multi-view dataset from an analytic scene containing volumetric geometry and view-dependent radiance, using sample_along_rays and volume_rendering to establish the forward rendering process. We then implement a NeRF […] The post Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction 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：Yesterday, Anthropic CEO Dario Amodei published a lengthy open letter saying it was time to "pace the frontier" and slow down AI development. OpenAI's Sam Altman and Elon Musk both agreed, publicly voicing their support on X. Even Alphabet's Demis Hassabis offered tentative support for Amodei's proposal. Donald Trump and House Speaker Mike Johnson, however, seem to think the AI executives are being overreactive and fear that a pause could lead to China outpacing the US in the AI race. According to the Financial Times, Trump said "Look, we're leading China in AI … and, frankly, I want to keep it that way, because whoever wins AI, wins." Jo … Read the full story at The Verge.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Disturbing and AI-generated versions of Dr Seuss character have been used to threaten schools and communities Schools and law enforcement authorities in the US are issuing warnings against a viral “Cat in the Hat” social media trend in which disturbing or AI-generated versions of the Dr Seuss character are used to threaten students, schools and communities. The latest warnings come as safety concerns increase and several teenagers have been arrested or charged over posts connected to the trend. 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：Yifan Zhang's Recurrent Looped Transformer (RLT) technical report proposes a causal encoder paired with a recurrent decoder that carries its final hidden state and layerwise sliding-window attention cache across every prompt and response token, with no reset at the serving boundary. The reference tied configuration uses 48 encoder and 48 decoder layers, executing 96 logical blocks per token while the state path grows to 48t decoder blocks after t tokens. The design also specifies hardware-aware execution around the recurrent core and an exact current-policy RL replay contract. No code, weights, or measured results are released yet. The post A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 9…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：From the Trump administration to AI experts, plans by the Anthropic boss to boost safety have spawned a largely negative response OpenAI boss and Elon Musk back slowdown on ‘reckless’ AI development Editorial: controlling AI – humanity cannot outsource its survival The safety debate that ignited when whistleblowers last week warned that the most advanced AI poses an existential threat to humanity should come with a health warning: side effects include whiplash. It was only seven days ago that AI enthusiasts were cheerily toying with OpenAI’s newest model GPT-6 Astra which was marketed in part as a lifestyle tool to help people book tennis courts, run fashion companies and order takeaways. By Wednesday, cutting edge AI started to look a lot less appealing when t…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Ex-president urged party at closed-door fundraiser to create sweeping framework, from safety ‘slow-down’ to job losses Barack Obama urged Democrats to prioritize a “public conversation” about AI management and safety in a closed-door Manhattan fundraiser last week. The comments by the former US president reportedly urged the party to create a sweeping framework for everything from a safety “slow-down” to domestic job losses and children’s wellbeing. 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：This intimacy economy is tapping into the deepest parts of our intimate psychological infrastructure The modern mind is a column where experts discuss mental health issues they are seeing in their work Michael* is an engineer whose company embraced the AI wave. He enjoys testing ideas with chatbots. However, recently his manager became worried about his judgement and reliance on the tech. “He literally cannot make any decision without running it past AI. He’s developed a very off-script interpretation of our business goals, and he’s losing his team. If we can’t get him back on track I think we’ll end up parting company”. The original attention economy developed by tech firms was designed to capture human time and monetise your focus. It was designed to increase…