Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Overview PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI trainingHugging Face ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...

These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...