An image-only artificial intelligence (AI) model recently authorized by the FDA conferred more precise risk stratification in predicting the 5-year risk of breast cancer compared with ...

There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a ...

Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...

The scale provided by systems such as Frontier is pretty much a necessity to do calculations like this, both in terms of parallel computational capacity and storage. It would take many millennia to ...

Abstract: Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely ...