Abstract: Recently, convolution neural network (CNN)-based hyperspectral image (HSI) classification has enjoyed high popularity due to its appealing performance. However, using 2-D or 3-D convolution ...

Before AI could write, it learned to see. And for roughly a decade, almost every machine that recognized a face, read a scan or spotted a defect on a production line ran on one idea: the convolutional ...

VkFFT is an efficient GPU-accelerated multidimensional Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal projects. VkFFT aims to provide the ...

Abstract: Intelligent diagnosis is one of the key points of research in the field of bearing fault diagnosis. As a representative unsupervised data expansion method, generative adversarial networks ...

ChatGPT's breakthrough is not what it seems.

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal ...

Until now, our neural networks have treated every input feature independently. That works for tabular data, but images are different. A 224×224 image contains over 50,000 pixels, and nearby pixels are ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

In daily life and communication, people usually recognize the emotions of people around them through facial expressions, voice dialogues, body language and other external behavioral signals, so as to ...