Fraunhofer researchers have developed a system that uses sensors and AI to monitor a driver's cognitive load. In the future, ...
Get started with deep learning by setting up the perfect environment for your projects. From installing libraries to configuring tools, this guide covers everything you need. #DeepLearning #AI ...
Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
AI has transformed the forex market by reshaping trading strategies and outcomes. Traders now approach currency markets differently, and AI tools help create better trading platforms. Algorithmic ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
Background: A vision-based gait analysis system using deep learning algorithms for simple monocular videos was validated to estimate temporo-spatial gait parameters in idiopathic normal-pressure ...
Abstract: Task offloading strategies in Mobile Edge Computing (MEC) aim to reduce computation delay and energy consumption of mobile devices by offloading tasks to edge servers, which is key to ...
This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...