Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the…
Ollivier-Ricci Curvature of Riemannian Manifolds and Directed Graphs with Applications to Graph Neural Networks
arXiv:2604.14211v2 Announce Type: replace-cross Abstract: This thesis is an exposition of Ollivier-Ricci Curvature of metric spaces as introduced by Yann…
Claude Cowork now runs its own browser inside the desktop app
Anthropic is building its own browser into Claude Cowork, running inside the desktop app. The article Claude Cowork now runs its own browser inside the…
Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
arXiv:2604.16926v3 Announce Type: replace-cross Abstract: Electroencephalography (EEG) foundation models have shown strong potential for learning…
Robotics startup Generalist reaches $3B valuation, sources say
The $200 million extension comes just months after the physical AI startup reached a $2 billion valuation.
RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction
arXiv:2605.00901v2 Announce Type: replace-cross Abstract: The use of CT imaging is important for screening, diagnosis, therapy planning, and prognosis of…
AI News Brief Hourly Summary 2026-08-27 12h : 11 posts
11 posts published in the last hour 09:33msData: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models 09:33EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training 09:33ST-Lite: Training-Free KV Cache Compression with Spatio-Trajectory Guidance for Long-Horizon…
msData: A Millisecond-Resolution Network Dataset for Advancing Time Series Foundation Models
arXiv:2603.16497v3 Announce Type: replace-cross Abstract: Time series foundation models (TSFMs) require diverse, real-world datasets to adapt across…
EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training
arXiv:2603.02041v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are predominantly trained on English-centric data, resulting in…
ST-Lite: Training-Free KV Cache Compression with Spatio-Trajectory Guidance for Long-Horizon GUI Agents
arXiv:2603.00188v3 Announce Type: replace-cross Abstract: Training-free KV cache compression is essential for deploying vision-language GUI agents under…
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
arXiv:2603.16654v3 Announce Type: replace-cross Abstract: Evaluating the reasoning abilities of large language models (LLMs) solely from final answers can…
ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
arXiv:2603.10068v2 Announce Type: replace-cross Abstract: Most adversarial evaluations of large language model (LLM) safety assess single prompts and…
VLANeXt: Recipes for Building Strong VLA Models
arXiv:2602.18532v3 Announce Type: replace-cross Abstract: Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged,…
ICA: Information-Aware Credit Assignment for Visually Grounded Long-Horizon Information-Seeking Agents
arXiv:2602.10863v2 Announce Type: replace-cross Abstract: Long-horizon reinforcement learning for information seeking agents remains difficult because…
PatientHub: A Unified Framework for Patient Simulation
arXiv:2602.11684v2 Announce Type: replace-cross Abstract: As Large Language Models increasingly power role-playing applications, simulating patients has…
Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging
arXiv:2602.03702v2 Announce Type: replace-cross Abstract: Large language models are increasingly trained in continual or open-ended settings, where the…
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same model behaves on a phone. This week,…
You Can Learn Tokenization End-to-End with Reinforcement Learning
arXiv:2602.13940v3 Announce Type: replace-cross Abstract: Tokenization is a hardcoded compression step which remains in the training pipeline of Large…