Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP ...

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

DNNs, while highly effective in tasks such as melanoma detection and cardiovascular disease prediction, often rely on ...

The developed AI-based vehicle detection model and tool have shown enhanced accuracy in traffic management, outperforming ...

The paper is published in the journal Image and Vision Computing. "The use of neural networks in the model allows us to detect this type of marker in a more flexible way, solving the problem of ...

An artificial intelligence (AI) model designed to predict a person's biological age (age of body cells and tissues) based on ...

China's frugal AI innovation is yielding cost-effective models like Alibaba's Qwen 2.5, rivaling top-tier models with less ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly ...