The Archive

Squeeze on Rust Belt electricity bills threatens Trump’s manufacturing plan.

Meta is launching the first AI image generation model made by its Superintelligence Labs division. The Muse Image model now powers the image-making tools across the Meta AI app, Instagram, and WhatsApp, and it's coming soon to Facebook and Messenger, according to an announcement on Tuesday. It's part of the growing Muse family of AI models that replace Meta's Llama lineup. Alexandr Wang, who Meta hired to head up its Superintelligence Labs last year, says on Threads that Muse Image is "agentic," meaning it works with its Muse Spark large language model "to reason through your prompt, search t...

Open-source models’ success isn’t coming at the expense of frontier labs. Instead, they each seem to capture two phases of the same life-cycle.

Microsoft is the latest Silicon Valley giant to cut back on its AI spending.

sqlite-utils 4.0 adds schema migrations, nested transactions, and compound foreign key support to SQLite tooling.

Discord has acknowledged that a bug in its AI moderation system mistakenly banned more than 8,000 users over the past two months, after harmless images—including spreadsheets, chessboards, game textures, as well as white and gray transparent backgrounds—were incorrectly flagged as harmful content. The company confirmed that the issue had been affecting accounts since May, with […]

ELSA3D introduces elastic semantic anchoring for unified 3D understanding and generation, structuring language-geometry reasoning across matched abstraction scales.

Graph Convolutional Attention analyzes spectral properties of attention-based graph denoising, showing linear attention limitations for graph diffusion tasks.

Rethinking Indic AI examines cultural-linguistic preservation and inclusion challenges for underrepresented Indian languages in AI systems.

Unsupervised dependency parsing via network science methods applied to non-human sequences without gold standard evaluation.

Starting Tuesday, Anthropic's Claude Cowork AI platform will be available on mobile and web for the first time. The expanded access is rolling out first to Max subscribers and coming to Claude users on other plans "in the coming weeks." Claude Cowork was previously only accessible through the Claude desktop app for macOS and Windows, but now users on iOS and Android can also use it. However, Anthropic says the "full experience" for Cowork will still be on the desktop app, including features like local file access. Cowork sessions will also now run in the cloud by default, so you can continue ...

Hierarchical Acoustic-Semantic Modeling addresses modality interference in full-duplex Spoken Language Models via separation and semantic coherence techniques.

GraphBU proposes graph-native MILP instance generation using block units that preserve structural coupling for solver development.

Large Cancer Assistant (LCA) is a model-agnostic orchestration framework for multimodal clinical decision support in oncology.

Life Style Levels uses satellite imagery and morphological indicators to delineate socioeconomic variations in Indian urban areas.

RSF-GLLM bridges semantic gaps in multi-hop knowledge graph QA via recurrent soft-flow reasoning and decoupled LLM generation.

DepthWeave-KV compresses long-context KV cache via token-adaptive cross-layer factorization, improving inference efficiency.

VAORA method improves VLM reasoning alignment in physical interactive tasks by anchoring chain-of-thought to visual context via dual reward signals.

FreqDepthKV compresses KV cache in long-context LLM inference by factorizing layers into shared low-frequency and sparse high-frequency components.

FootsiesGym is an open-source fighting game benchmark for two-player imperfect-information RL research with vectorized simulation.

DynaKRAG learns unified control policies for multi-hop RAG operations including retrieval, reformulation, critique, and sufficiency judgment.

NAICS-GH dataset maps 6,588 GitHub repos to North American Industry Classification System sectors for innovation geography studies.

As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids... As more teams move from humanoid robot bring-up to task-specific skill development, the need for repeatable development workflows is growing. Building humanoids remains complex, and today’s development pipelines are still highly fragmented. As a result, developers spend significant time configuring robotics infrastructure before they can focus on building robot capabilities. Source

RMISC corpus evaluates time series foundation models pretrained on real-world multivariate data versus synthetic alternatives.

Method detects and aborts failing LLM agent episodes early via hidden activation probes, reducing inference compute waste.

Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context,... Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context, determines the correct procedure, checks whether a specialist signal confirms the failure mode, and writes up a recommendation. This process remains consistent, and is well-suited for an AI agent. This post discusses a per-alarm… Source

Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to... Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to acquire wireless spectrum. A goal of a radio access network (RAN) system is to extract the maximum spectral efficiency (bits/second/Hertz) possible, which translates into more capacity, stronger network resilience with fewer dropped packets… Source

EntroPath recovers manifold geometry via maximum-entropy random walk ensembles, improving on locally-normalized and shortest-path baselines.

Pitwall generates faithful Formula 1 race strategy briefings in real-time by verifying claims against probabilistic race simulation.

Multi-agent DRL battery management system optimizes renewable energy integration in Irish dairy farms via dynamic pricing.