Abstract: Accurate segmentation of cardiac structures in echocardiographic images plays a vital role in the quantitative assessment of cardiac function, enabling early detection and management of ...
Abstract: In the realm of deep learning, the veracity and integrity of the training data are pivotal for constructing reliable and transparent models. This study introduces the concept of Trustworthy ...
Automated assessment of human motion plays a vital role in rehabilitation, enabling objective evaluation of patient performance and progress. Unlike general human activity recognition, rehabilitation ...
Abstract: Unmanned Aerial Vehicle (UAV) networks have be-come increasingly prevalent across various sectors, including mil-itary operations, disaster management, and commercial services. However, ...
OpenAI CEO Sam Altman addressed concerns about AI’s environmental impact this week while speaking at an event hosted by The Indian Express. For one thing, Altman — who was in India for a major AI ...
Rivian has a new pitch for its outdoorsy, tech-loving customers: Ditch the phone and use your Apple Watch to access vehicle controls. The company said on Thursday it plans to launch a companion app ...
An internal research study at Meta dubbed “Project MYST” created in partnership with the University of Chicago, found that parental supervision and controls — such as time limits and restricted access ...
The European Parliament has reportedly blocked lawmakers from using the baked-in AI tools on their work devices, citing cybersecurity and privacy risks with uploading confidential correspondence to ...
A government customer of sanctioned spyware maker Intellexa hacked the phone of a prominent journalist in Angola, according to Amnesty International, the latest case of targeting someone in civil ...
Abstract: With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the ...
Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...