IEEE

Proper Orthogonal Decomposition for Model Order Reduction of High Dimensional Parametric Problems with Varying Geometries Based on the Interface Adaptive Mesh

Abstract: The proper orthogonal decomposition (POD) is commonly applied for the model order reduction (MOR) of parametric problems. The method generates a reduced basis from the left singular vectors ...
GitHub

A PyTorch implementation of Parametric UMAP (Uniform Manifold Approximation and Projection) for learning low-dimensional parametric embeddings of high-dimensional data.

The pip install pulls the default PyTorch build from PyPI. If you need a specific CUDA version, install PyTorch first following the official instructions, then install this package.
IEEE

A DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way

Abstract: A rational approach to predict passenger car sales and analyze the current state of the passenger car sales market can contribute to the healthy development of the automotive industry. The ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
CNBC

Anthropic releases Claude Sonnet 4.6, continuing breakneck pace of AI model releases

Anthropic has released its latest AI model, Claude Sonnet 4.6, which is better at using computers, coding, design and knowledge work, the company said. The startup launched another model, Claude Opus ...
Hosted on MSN

She said 6 braids going up feed-in ponytail tutorial

She said “6 braids going up,” and we delivered a flawless feed-in ponytail to match. In this step-by-step tutorial, you’ll see how to achieve clean parts, smooth feed-ins, and a sleek high ponytail ...