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

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 ...

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

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

Network models are a computer architecture ... and the challenges that need to be overcome. Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone ...

These studies utilize advanced computational models and neural networks to simulate and explain ... art and cognitive processes, suggesting a deep connection between creativity and perception ...

NIT Rourkela researchers develop AI-based vehicle detection model to improve traffic management in developing countries.

In the research, they investigate the reason for the long DNN model warm-up time in Web apps and find that compiling WebGL programs into binaries takes most of the time. Inspired by this finding, they ...

Verseon, a pioneering company in physics- and AI-powered drug discovery, revealed that its AI technology significantly ...