This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

A new AI-driven technology developed by researchers at UNIST promises to significantly reduce data transmission loads during image transfer, paving the way for advancements in autonomous vehicles, ...

Abstract: Hyperspectral image (HSI) classification constitutes a crucial research direction within the domain of remote sensing. Convolutional neural networks (CNNs) and graph convolutional network ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

DAYTON, Ohio, Nov. 3, 2025 /PRNewswire/ -- AmeriWater, a leading provider of advanced water purification systems for healthcare, announced today it has launched the industry's only single skid ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

A fast, privacy-focused web app that converts WebP images to PNG or JPG directly in your browser — no uploads, no servers, 100% client-side.

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...