The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

AI technology is everywhere, from phones to drive-through ordering systems. Given that companies like Google, Microsoft and ...

While discussing the tech at at the consumer electronics show, Nvidia's VP of applied deep learning research, Bryan Catanzaro ...

Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...

Scientists developed a technology that surpasses the constraints of traditional imaging methods, providing stable and highly accurate cell visualization.

At last week's RTX Blackwell Editor's Day in glorious Las Vegas*, deep in the midst of CES 2025, Brian Catanzaro, Nvidia's VP ...

A study from Oxford University has uncovered why the deep neural networks (DNNs) that power modern artificial intelligence ...

Explainable deep learning-based unsupervised inter-domain image transformation for virtually stained high-resolution mid-infrared photoacoustic microscopy ...

With the use of deep learning and advanced algorithms, generative AI can promote acceleration in the design and development of medicines.