OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes
arXiv:2607.11896v1 Announce Type: new
Abstract: Forecasting particulate matter (PM10) requires both station-scale accuracy and continuous spatial fields, especially during severe dust storms. Chemical transport models (CTMs) provide gridded forecasts but retain local biases, whereas graph neural ne...
Optimal Adaptive Market Making: A Theoretical Framework for High-Yield Liquidity Provision in Perpetual Futures Markets
arXiv:2607.11888v1 Announce Type: new
Abstract: We develop a rigorous theoretical framework for optimal market making in perpetual futures markets with zero maker fees. We model the market maker's problem as a stochastic optimal control problem on a filtered probability space, where the controls ar...
In-Context Reinforcement Learning under Non-Stationarity: A Survey
arXiv:2607.11906v1 Announce Type: new
Abstract: The development of decision-pretrained transformers, algorithm distillation, long-context meta-RL, and retrieval-augmented agents has renewed interest in in-context reinforcement learning (ICRL): the ability of a pretrained or fine-tuned decision mode...
GRID: Grammar-Railed Decoding for Enterprise SQL Generation
arXiv:2607.11951v1 Announce Type: new
Abstract: Large language models can write SQL, but enterprise deployment demands more than plausible text: outputs must be syntactically valid, must respect per-role and per-schema policy, must carry provable (not best-effort) guarantees, must not slow down as ...
Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses
arXiv:2607.11959v1 Announce Type: new
Abstract: Greenhouse reinforcement learning can test climate-control ideas at a speed and scale that is difficult to achieve with crop experiments alone. For smart-greenhouse control, however, a single simulator return is not enough: a grower or control enginee...
One Layer Is Enough: Adapting Pretrained Visual Encoders for Image Generation
Visual generative models (e.g., diffusion models) typically operate in compressed latent spaces to balance training efficiency and sample quality. In parallel, there has been growing interest in leveraging high-quality pre-trained visual representations—either by aligning them inside VAEs or directl...
CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning
Retrieval-augmented generation (RAG) enhances large language models (LLMs) with external knowledge but still suffers from long contexts and disjoint retrieval–generation optimization. In this work, we propose CLaRa (Continuous Latent Reasoning), a unified framework that performs embedding-based comp...
Uncertainty Quantification for LLM Function-Calling
Large Language Models (LLMs) are increasingly deployed to autonomously solve real-world tasks. A key ingredient for this is the LLM Function-Calling paradigm, a widely used approach for equipping LLMs with tool-use capabilities. However, an LLM calling functions incorrectly can have severe implicati...
PrismML Releases Bonsai 27B: 1-bit and Ternary Builds of Qwen3.6-27B That Run on Laptops and Phones
PrismML just released Bonsai 27B. It is a low-bit representation of Qwen3.6-27B, not a new pretrain. The architecture is unchanged. Two variants ship under Apache 2.0. Ternary Bonsai 27B uses {−1, 0, +1} weights at a true 1.71 bits per weight. Its ideal size is 5.9GB. 1-bit Bonsai 27B uses binary {−...
Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.
OpenCoreDev Releases Domain SDK 0.2.0: One TypeScript API to Add, Verify, and Remove Customer Domains Across Five Platforms
OpenCoreDev has published Domain SDK 0.2.0, a TypeScript client for the custom domain lifecycle. It covers Vercel, Cloudflare for SaaS, Railway, Render, and Netlify behind one API. Status is modeled as an eight-value union, with separate verification and certificate fields.
The post OpenCoreDev Rele...
Apple opens its new Siri AI to everyone with the iOS 27 public beta
If you’ve been waiting to try Apple’s revamped Siri without installing a developer beta, you now can. The company on Tuesday released the iOS 27 public beta, giving iPhone owners early access to its AI-powered assistant and other new features before the software’s official launch this fall.
DeepMind CEO calls for an independent standards body to regulate frontier AI
DeepMind CEO Demis Hassabis is proposing an AI "standards body" modeled after FINRA, to test frontier models and develop best practices for their release.
Nemotron Labs: How Open Models Give Enterprises and Nations AI They Can Trust, Control and Customize
Enterprises have plenty of powerful models to choose from. The real test is whether the AI an enterprise builds uniquely addresses the needs of the business: improving workflows, tapping into domain knowledge and exceeding standards for accuracy and trust.
Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer
Instagram head Adam Mosseri believes companies will eventually need to manage AI token spending the same way they manage payroll or other operating expenses, predicting that engineers could soon face limits on how much they spend using AI tools.
New York State halts construction of all new data centers
New York has become the first state to temporarily halt approval of large data centers, as Gov. Kathy Hochul argues the AI-driven building boom shouldn’t come at the expense of higher electricity costs, water supplies, or local control.
Hugging Face CEO Clem Delangue says enterprises increasingly want open models, due to cost, accessibility, and ownership. Do frontier models still matter if most production AI ends up running on open models?
Spotify expands its AI push with a ChatGPT-like music assistant
Spotify is rolling out a new AI-powered conversational feature that lets Premium subscribers chat with the app to discover music, podcasts, and audiobooks, and more.