Tensor field visualisation and topology constitute a rapidly evolving interdisciplinary field that merges computational mathematics, physics and computer graphics to elucidate the complex structures ...

Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

NVIDIA has this week announced the availability of its cuTENSOR v1.4, which now supports up to 64-dimensional tensors, distributed multi-GPU tensor operations, and helps improve tensor contraction ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

Tensors play a pivotal role in AI and deep learning systems, and share a common heritage with both physics and advanced mathematics. All of which makes it extremely difficult to lock down a definitive ...