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Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Using techniques like quantum machine learning (QML) for complex probability calculations and computer vision for analyzing visual data (from technical charts to satellite imagery), AI systems can ...

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Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

Machine learning algorithms have several forceful real-life applications in path planning for robotics: 1. Autonomous Vehicles Machine learning algorithms take the steering wheel in self-driving cars ...

We review various machine learning techniques employed for enhancing multi-objective evolutionary algorithms, particularly focusing on different types of reinforcement learning methods. Different ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...