Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...
Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...
The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
AZoLifeSciences on MSN
Engineered human skin acts as a living biosensor for inflammation
Implanted living skin-based biosensors offer a breakthrough in inflammation tracking, providing real-time biomarker ...
AZoRobotics on MSN
AI-Powered Solar Robot Detects Crop Diseases in Real Time
This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
At the forefront of this transformation is the electronics and metal recycling sector, where advanced machinery is key to ...
Tech Xplore on MSN
Novel AI method sharpens 3D X-ray vision
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Data-driven consumer-phase identification in low-voltage distribution networks considering prosumers
Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...
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