AI model training needs are changing, with subject experts pushing aside generalist data labelers

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...

OpenAI’s New AI Foundations Course Promises ‘Job-Ready’ Skills and Credential

AI firm debuts its first certification program with ChatGPT-based courses for workers and K-12 teachers, starting with AI ...

Providing AI training leads to more critical and ethical use by university students

No longer a technological novelty, generative artificial intelligence (GenAI) has become a common tool for everyday academic ...
Military.com

Military Implications in the Age of AI

With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...
IEEE

Unsupervised Domain Adaptation for VHR Urban Scene Segmentation via Prompted Foundation Model-Based Hybrid Training Joint-Optimized Network

Abstract: Unsupervised domain adaptation for remote sensing semantic segmentation (UDA-RSSeg) is to adapt a model trained on the source-domain data to the target-domain samples, thereby minimizing the ...
United States Army

Army teams operationalize warfighting systems in Western corridor experiment

As modern battlefields rapidly evolve, the Army remains at the forefront of capability acceleration and innovation. Through exposure to realistic, ...
Aviation Week

U.S. Space Force Hones Realistic Training For On-Orbit War

U.S. Space Force Guardians supported the recent joint exercise Resolute Space 2025 with an electromagnetic range environment that allowed participants to train in realistic conditions. Credit: U.S.
Observer

Elon Musk’s xAI Is Redefining Data Annotation—an Unglamorous But Vital Job in A.I.

Elon Musk’s A.I. firm is scaling back on “generalist A.I. tutors.” Allison Robbert/POOL/AFP via Getty Images Data annotation may not be the most glamorous job in Silicon Valley, but it’s indispensable ...
GitHub

SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

Prediction results of our proposed method. Network Architectural and Cross-domain Image Different. torch=1.10.2,torchvision=0.11.3 and mmcv-full=1.5.0. Recommended use of conda virtual environments ...
Frontiers

Training marine species object detectors with synthetic images and unsupervised domain adaptation

1 Australian Centre for Robotics, University of Sydney, Sydney, NSW, Australia 2 Department of Marine Technology, Norwegian University of Science and Technology, Trondheim, Norway Visual surveys by ...