China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...

Nasdaq brings proprietary market data onchain through Pyth

Nasdaq will distribute its proprietary TotalView market data through Pyth, making the network one of the first onchain ...
techtimes

DeepSeek Releases DSpark: Speculative Decoding Makes V4 Up to 85 Percent Faster

In this photo illustration, the DeepSeek app is displayed on an iPhone screen on January 27, 2025 in San Anselmo, California. Newly launched Chinese AI app DeepSeek has surged to number one in Apple's ...
Tech Times

NVIDIA AI Trained Itself on a 30B Model: Corrected Its Own Broken Metric Mid-Run

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
GitHub

zhuofupan/Pytorch-Deep-Neural-Networks

[1] Z. Pan, H. Chen, Y. Wang, B. Huang, and W. Gui, "A new perspective on ae-and vae-based process monitoring," TechRxiv, Apr. 2022, doi.10.36227/techrxiv.19617534 ...
PNAS

Data-driven particle dynamics: Structure-preserving coarse-graining for emergent behavior in nonequilibrium systems

Multiscale systems far from equilibrium are challenging to model due to coupling between unresolved physics and emergent stochastic behavior. Our hybrid machine learning framework generates models ...
GitHub

Awesome Time Series Papers

EVENTTSF: Event-Aware Non-Stationary Time Series Forecasting Code IJCAI 2026 SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies Code ...
Frontiers

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale

Missing data in psychometric research presents a substantial challenge, impacting the reliability and validity of study outcomes. Various factors contribute to this issue, including participant ...
Scientific Research Publishing

Missing Data Imputation: A Comprehensive Review ()

1 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. 2 Computer Science Department, Faculty of Science, Tanta University, Tanta, Egypt ...
IEEE

Deep Learning-Based Coseismic Deformation Estimation From InSAR Interferograms

Abstract: Accurate automated extraction of coseismic deformation from synthetic aperture radar (SAR) data can be challenging owing to interference from inherent atmospheric noise. Particularly, the ...