As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...
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 ...
Policymakers across Europe and the United States are moving to classify many clinical AI tools as high-risk systems, ...
Data from 682 end-user reviews on Info-Tech's SoftwareReviews platform was used to identify the top platforms for the 2025 Machine Learning Emotional Footprint Report. The insights published offer ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...
Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...
Abstract: Low earth orbit (LEO) satellite networks are promising to carry out edge computing and reduce the service latency in future 6 G networks. Meanwhile, the microservice architecture provides a ...