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Pulse · qz.com

qz.com · Nov 3

Binance said North Korean hackers used fake job interviews in $6.3 billion heist

Pulse · 247wallst.com

247wallst.com · Nov 3

Super Micro Climbs 4% Ahead of Earnings as AI Server Stocks Bounce; Hewlett Packard Enterprise Rallies 6%, Dell Gains 5%

AI server stocks are staging a comeback, but Super Micro faces an earnings report that must answer hard questions about shrinking margins, export control legal trouble, and whether a record order backlog can actually translate into profit.

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Top picks this weekarXiv

arXiv

Nov 2

Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation

General-purpose mobile manipulation requires a combination of capable robot hardware, scalable demonstration collection, expressive whole-body control, and effective policy learning. Yet these components are often developed independently, creating mismatches that limit the capabilities of the complete system. We present Pixel, a co-designed full-stack system for learning general-purpose mobile manipulation. Pixel combines a low-cost wheeled humanoid with human-aligned kinematics and compliant grippers, multiple teleoperation and robot-free human data-collection interfaces, a unified whole-body controller, and a common policy learning pipeline across human and robot demonstrations. A hierarchical learning stack further enables language-conditioned visuomotor control and long-horizon task execution. We evaluate the system across hardware, data collection, and policy learning, and demonstrate mobile-manipulation behaviors requiring dexterity, active perception, navigation, and whole-body coordination. We hope that Pixel provides an integrated and extensible foundation for studying how robot hardware, data, control, and learning can be designed together for robot learning. More…

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arXiv

Sep 25

Progressive Memory Transformer: Memory-Aware Attention for Time-Series

Time-series carry structure simultaneously at multiple scales (fine-grained variation, mid-range motifs, and global properties) and downstream tasks operate at correspondingly different scales. Most existing self-supervised learning approaches supervise representations globally…

arXiv

Sep 25

DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models

Large video diffusion models offer expressive priors for embodied prediction and learning, yet their many-step sampling remains costly for interactive downstream use. Distribution Matching Distillation (DMD) enables few-step video generation, but can suppress robot--object…

arXiv

Sep 25

Stale-Document Poisoning: When Outdated Retrieval Overrides Correct Model Answers

Retrieval-augmented generation (RAG) is often used to address outdated knowledge by providing external evidence. But retrieval helps only when that evidence is still valid. We identify a temporal alignment failure, stale-document poisoning, in which outdated evidence makes a…

arXiv

Sep 25

The Right Information Extraction Pipeline Depends on the Document: Accuracy-Energy Trade-offs for Small, Local Models

Whether an information extraction pipeline should process page images or parsed text depends on the document, and the answer flips across the layout spectrum. We study this trade-off under a constraint that rules out (closed) cloud services: privacy-sensitive documents…

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