Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Almost every tech organization is moving towards AI. The demand for skilled AI professionals has reached in a exponential rate. The global AI market is projecte ...

Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...

To solve this problem, we designed a new model called WaterDetectionNet (WDNet) based on SAR remote sensing images and convolutional neural network, which has a strong water extraction capability for ...

This paper explores the use of deep learning to classify experimentally measured textured microstructures without knowledge of crystallographic orientation. A deep convolutional neural network is used ...

Project Brainwave is a deep learning platform for real-time AI inference in the cloud and on the edge. A soft Neural Processing Unit (NPU), based on a high-performance field-programmable gate array ...

benchmark tutorial deep-learning pytorch imagenet segmentation bilibili convolutional-neural-network cifar10 cvpr-2017 tensorrt pytorch-tutorial hsi fashion-mnist pytorch-cnn pytorch-implmention ...