In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...
Equifax (NYSE: EFX) secured 27 patents in the second half of 2025, bringing the total number of patents secured for the year ...
A new approach is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...
Terahertz photonic crystal fiber sensors, powered by machine learning, could transform tuberculosis detection with rapid and accurate diagnostics.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
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