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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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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 18

Learning Cardiac Features: ECG Biometrics Across Time and~Exercise

Electrocardiograms (ECGs) carry subject-specific patterns enabling reliable individual discrimination, forming the basis of ECG biometrics. Beyond authentication, this paradigm holds significant potential to secure sensitive cardiac data and to serve as a pretext task in…

arXiv

Sep 18

Schedule optimization for tau-leaping in masked discrete diffusion

Masked diffusions are popular generative models for discrete distributions. Unlike standard autoregressive sampling, they reveal several coordinates in parallel, approximating each block's joint conditional law by a product of one-coordinate conditionals. The resulting…

arXiv

Sep 18

RACER: Role-Aligned Competence Estimation for Human-AI Routing

Learning to defer asks a predictive system when to act autonomously and when to defer to a human expert. Population-adaptive deferral extends this problem to unseen experts using a small context set of expert behavior. Neural context encoders such as L2D-Pop can be…

arXiv

Sep 18

GALA: Geometry-Aware Latent Action Modeling for Vision-Language-Action Model Pretraining across Embodiments

Learning large-scale vision-language-action (VLA) models from multi-embodiment datasets remains challenging due to heterogeneous action spaces across end effectors. Although latent action models (LAMs) can learn embodiment-agnostic action representations from diverse video…

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