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

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

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Alongside R1 and R1-Zero, DeepSeek today open-sourced a set of less capable but more hardware-efficient models. Those models ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

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 ...

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

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

In this rapidly evolving digital world, where cyber threats are becoming increasingly sophisticated, groundbreaking research ...

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