Abstract: In this paper, we focus on the problem of bridge crack detection. In view of the characteristics of bridge cracks, such as the existence of multiple scales and shapes, and the interference ...
Sea snot’ blooms threaten marine life, tourism, and fisheries. Researchers used satellite images and AI to rapidly detect ...
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
Intuit on MSN
6 steps to train an AI model to do whatever you want
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Brian W. Stone does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
Nuclear startup Deep Fission announced Monday that it has gone public in a reverse merger, netting the company $30 million. No, it’s not 2021. The startup is proposing to build small, cylindrical ...
HOUSTON, Sept 5 (Reuters) - ConocoPhillips (COP.N), opens new tab CEO Ryan Lance told employees on Thursday that one of the reasons he had to cut up to 25% of the workforce was because the U.S. oil ...
The official implementation for "UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection". The detection of ligand binding sites for proteins is ...
Abstract: Change detection in remote sensing (RS) images typically involves processing and analyzing RS images of the same geographic location captured at different times to identify changes. In ...
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