Artificial Intelligence has become the engine of modern business — from automated logistics and smart retail to predictive finance and personalized ...
A fully automated deep learning workflow for echocardiography in pulmonary arterial hypertension (PAH) is accurate and feasible.
Artificial intelligence is transforming the energy industry by enabling national oil companies to better organize, interpret, ...
SINKER is an innovative new instrument equipped with advanced microscopes and cameras to collect detailed data about carbon ...
According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
Stetz, Mae and Robert Carter Professor of Women's Studies and professor of humanities, who on Oct. 8, 2025, delivered the ...
Deep under a mountain in Italy, researchers continue to push the boundaries of science with an experiment that could rewrite ...
The researchers argue that traditional vaccine development methods, which rely heavily on laboratory experimentation and long ...
Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Trump Says He Is ...
Abstract: In this letter, we propose a novel deep learning-based method for drone identification using raw in-phase and quadrature (IQ) data, addressing the increasing need for monitoring and ...
aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bDepartment of Health Metrics Sciences, University of Washington, Seattle, WA, USA ...
Abstract: This work introduces SeismoNet, a deep learning (DL) framework designed to isolate the source earthquake signal from noisy components on the time–frequency representation (TFR) plane.
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