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arXiv:2607.10165v1 Announce Type: cross Abstract: Emotion-aware artistic image generation requires an image to match the input prompt, follow the specified artistic style, and convey the target emotion. In this challenge, the main difficulty is that the visual and affective attributes available in the training data are not explicitly provided at test time. Without these attributes, the generator has to decide not only what to depict, but also how the target emotion should be expressed through co

arXiv:2607.10183v2 Announce Type: cross Abstract: Running large language models on consumer devices such as laptops and desktops is challenging because model weights often exceed GPU memory capacity, making offloading inference necessary to extend effective model capacity with CPU memory. Existing offloading systems, however, typically rely on coarse layer-level or expert-level scheduling, which overlooks substantial heterogeneity among tensors within the same layer and adapts poorly to changing

arXiv:2607.10191v1 Announce Type: cross Abstract: Generative streaming models for Target Speaker Extraction (TSE) commonly exhibit a quality--intelligibility trade-off, wherein naive optimization for perceptual audio quality tends to degrade speech intelligibility, and conversely. We reveal that this trade-off arises not from the constraints of streaming architectures, but from an inappropriate choice of optimization anchor. Directly optimizing against audio quality metrics induces catastrophic

arXiv:2607.10231v1 Announce Type: cross Abstract: Tree crowns are a challenging target for resilient AI because they are not static objects: their spectral response, internal texture, translucency, and apparent boundaries change substantially across the growing season. We develop PhenoEmbed, a self-supervised crown-centric temporal embedding model trained with contrastive and masked reconstruction objectives on HeideBench, an 18-date UAV multispectral time-series benchmark for forest crown pheno

arXiv:2607.10291v1 Announce Type: cross Abstract: Software evolves continuously, yet ensuring that a patch preserves intended behavior without re-verifying an entire codebase remains difficult. Regression verification addresses this problem, but existing techniques require expensive whole-program reasoning or rely on manually written specifications that are rarely available in practice. We present the first contract-based regression verification tool. Contract soundness is ensured by proving all

arXiv:2607.10295v1 Announce Type: cross Abstract: We demonstrate that AI-driven program synthesis can autonomously discover fundamental strategies for decomposing unitary matrices in photonic networks. By extending DreamCoder to complex-valued linear algebra, the system generates decomposition programs achieving the minimal $N(N-1)/2$ Mach-Zehnder interferometers, distinct from both Reck and Clements architectures. Learned programs encode dimension-agnostic invariants: strategies discovered for

arXiv:2607.10341v1 Announce Type: cross Abstract: AI visibility measurement is comparative: practitioners want to know which domains generative search engines cite most often and whether observed differences are large enough to support decisions. Yet the industry lacks a principled way to determine whether enough data has been collected. Collection budgets vary widely across studies and platforms, and conclusions are often drawn from rankings whose stability and precision are unknown. We introdu

arXiv:2607.10358v1 Announce Type: cross Abstract: Foundation models are increasingly used as image feature extractors for mammography, but their robustness under external domain shift remains unclear. We benchmark 15 foundation-model backbones across breast density, BI-RADS severity, and cancer status using a unified frozen-backbone linear-probe protocol, training on 3 source datasets and evaluating on 12 task-compatible out-of-distribution (OOD) datasets after label harmonization. Mammography-s

arXiv:2607.10369v1 Announce Type: cross Abstract: Flow-matching policies have emerged as an effective policy parameterization for robot learning. They iteratively generate actions from noise, enabling highly expressive modeling of complex and multimodal action distributions. However, prior works observed that scaling these policies with value-gradient reinforcement learning (RL) often leads to training instability. Existing methods attribute this instability to iterative generation and therefore

arXiv:2607.10383v2 Announce Type: cross Abstract: Visual Language Navigation foundation models aim to unify deep reasoning for grounded spatial decisions with broad versatility for diverse embodied tasks. Current approaches typically achieve this integration via monolithic policies that map observations directly to actions, yet they often suffer from coordinate drift and poor handling of long-tail semantics. Furthermore, these black-box mappings lack interpretability, hindering the simultaneous

arXiv:2607.10388v1 Announce Type: cross Abstract: Artificial intelligence (AI) is transforming electron microscopy by enabling quantitative analysis of increasingly large and complex datasets for nanoparticle characterization. Recent advances in machine learning (ML) and deep learning (DL) have expanded microscopy from a descriptive imaging technique into a data-driven platform for structural interpretation, dynamic analysis, and scientific inference. This review examines AI methodologies for na

arXiv:2607.10402v1 Announce Type: cross Abstract: Large language models (LLMs) have transformed misinformation from a primarily content-centric problem into a broader ecosystem-level security challenge. When misused, LLMs create risks beyond false content generation, enabling attacks on the social contexts, evidence sources, retrieval corpora, and verification workflows that misinformation defense depends on. In this paper, we introduce a role-layer framework to unify these risks and defenses. T

arXiv:2607.10405v1 Announce Type: cross Abstract: Controlling attributes is a critical step toward achieving the final creative outcome, yet current approaches fall short in supporting users in the iterative refinement of generative content. We propose Spatula, a proof-of-concept system that generates on-demand, in-situ attribute control interfaces and interactions for creating motion graphics. Building on a technical probe that automatically analyzes animation context and generates correspondin

<!-- SC_OFF --><div class="md"><p>I’m training a single-class segmentation model for large rectangular artwork placed on the floor and photographed from above.</p> <p>We have around 3,000 accurately masked original images taken by six different photographers. They are not the same height and do not hold the camera in exactly the same way, so the photos naturally vary in:</p> <ul> <li>roll</li> <li>pitch</li> <li>yaw</li> <li>camera distance</li> <li>object coverage in the frame</li> <li>centerin

Article URL: https://discuss.grapheneos.org/d/40286-ongoing-changes-to-android-security-patches-due-to-ai-vulnerability-discovery Comments URL: https://news.ycombinator.com/item?id=48902125 Points: 3 # Comments: 0

Article URL: https://manazir.dev/blog/operating-standard-harness Comments URL: https://news.ycombinator.com/item?id=48902072 Points: 2 # Comments: 0

<p> Claude Skills to turn Claude into a 100x Recruiter </p> <p> <a href="https://www.producthunt.com/products/crustdata-2?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1195830?app_id=339">Link</a> </p>

Article URL: https://github.com/xfloukiex-lab/pandaclip Comments URL: https://news.ycombinator.com/item?id=48901987 Points: 3 # Comments: 0

Article URL: https://www.domesoc.com/ Comments URL: https://news.ycombinator.com/item?id=48901940 Points: 2 # Comments: 0

Article URL: https://www.anthropic.com/news/claude-science-ai-workbench Comments URL: https://news.ycombinator.com/item?id=48901923 Points: 2 # Comments: 0

Article URL: https://www.thefp.com/p/artificial-intelligence-not-human Comments URL: https://news.ycombinator.com/item?id=48901827 Points: 2 # Comments: 1

Article URL: https://github.com/morluto/rea Comments URL: https://news.ycombinator.com/item?id=48901763 Points: 2 # Comments: 0

Comments

They're rolling up their sleeves again, seemingly out of fear of missing AI's defining moment and, presumably, the irresistible allure of making even more money -- potentially a lot more.

Article URL: https://blazordata.net/ViewBlogPost/10 Comments URL: https://news.ycombinator.com/item?id=48901604 Points: 2 # Comments: 1

Starting small with $37m and maybe 50MW but reckons full-stack service plan can succeed

Article URL: https://zenveil.dev Comments URL: https://news.ycombinator.com/item?id=48901422 Points: 2 # Comments: 0

Article URL: https://www.cbsnews.com/news/georgia-power-ai-data-centers-eminent-domain/ Comments URL: https://news.ycombinator.com/item?id=48901420 Points: 15 # Comments: 2

The first evidence that bacteria can convert toxic uranium dissolved in water into a stable chemical compound. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

My YouTube algorithm throws me the same stuff all the time, so I now exist in an echo chamber. I opened a new channel today to start afresh. I want it to be as diverse as possible, with content across all subjects. I just want it to be good quality content. No matter how obscure or niche. Learn new things, find new interests. Every single subscription will be crowdsourced, nothing of my own picking. Then I will just let it flow and watch. A quick summary of what the channel does would be helpful

Article URL: https://www.normaltech.ai/p/what-will-be-left-for-us-to-work Comments URL: https://news.ycombinator.com/item?id=48901292 Points: 87 # Comments: 93

Hi HN, I built Melodusk, an AI Music Generator and collection of AI music tools that runs directly in the browser. It supports multilingual UI, generation tracking, and a simple workflow for turning prompts into usable music ideas. Would love feedback on the product, UX, and where this could be most useful. Comments URL: https://news.ycombinator.com/item?id=48901280 Points: 2 # Comments: 0

Article URL: https://careersatdoordash.com/blog/building-food-metadata-with-llm-juries-context-optimization-multimodal-ai/ Comments URL: https://news.ycombinator.com/item?id=48901275 Points: 2 # Comments: 0

Article URL: https://www.nationalmemo.com/ai-bubble-2677214150 Comments URL: https://news.ycombinator.com/item?id=48901267 Points: 9 # Comments: 1

I built a chrome extension, that you can use to automate web tasks within your browser. No need of any separate backend. The extension is standalone and you can use it for free. It also support browser built-in models (like gemini-nano), which you can use for basic tasks like summarizing. Please have a look at Waffy.io. Also drop your honest review. Contributions are always welcome... Thanks Comments URL: https://news.ycombinator.com/item?id=48901133 Points: 2 # Comments: 0

<!-- SC_OFF --><div class="md"><p>NB: Reposting due to a typo in the title</p> <p>Putting this here instead of the other subs since I figured a question on deep learning theory is out of place there -- I "recently" found (actually, a few months ago but only just got to reading) <a href="https://ma-lab-berkeley.github.io/deep-representation-learning-book/">a monograph</a> claiming to provide a unified theory of deep learning (and possibly SSL) through the lens of information theory, with one of i

PARTNER CONTENT: How Envision is reversing the datacenter playbook by making computing chase abundant desert power, not the other way around

Anthropic's Claude Sonnet 5 narrows the gap to Opus 4.8 on agentic coding, at cheaper Sonnet token pricing. The post Anthropic Claude Sonnet 5 vs Sonnet 4.6 vs Opus 4.8: Agentic Coding Benchmarks, API Pricing, and Cost-Performance Tradeoffs Compared appeared first on MarkTechPost .

Uber Chief Product Officer Sachin Kansal walks TechCrunch through the company's financial-services ambitions, its increasingly complicated relationship with Waymo, its new AV Labs data operation, and how AI is starting to show up in ways riders and drivers will actually notice.

Article URL: https://www.sfu.ca/fas/computing/news-events/news/2026/january/sfu-launches-legal-ai-collaboration-with-caseway-to-improve-acce.html Comments URL: https://news.ycombinator.com/item?id=48900818 Points: 1 # Comments: 1