Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting advancements in structural health monitoring.

Applications for AI PCs continue to evolve, from powering intelligent assistants to real-time processing for autonomous systems.

This year at CES, Nvidia presented the next generation of its DLSS upscaling technology, which is trained with the help of ...

Please join the Lowell Center for Space Science and Technology on Thursday, January 30 at 11 a.m. for a virtual talk by Cecilia Garraffo, Ph.D. Abstract: The next wave of astronomical data is set to ...

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

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 ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange ...

Abstract: Deep Neural Networks (DNNs) have revolutionized several fields, including safety- and mission-critical applications, such as autonomous driving and space exploration. However, recent studies ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

In this paper, by integrating a deep residual neural network and auto-encoder, we propose an advanced deep neural network (DNN) framework with unified feature-aware and label embedding to perform ...

The worst of the deep freeze will be centered on the Ohio Valley and northern Missouri next week, according to Commodity Weather Group LLC. Cincinnati’s high is forecast to reach only 17F on Jan.

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor ...