On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...

Remember when finding information online meant typing exact keywords and hoping for the best? When search engines couldn’t tell the difference between “apple” the fruit and “Apple” the tech giant? How ...

Abstract: This paper aims to predict the diagnosis of Autism Spectrum Disorder (ASD) using the application of a few machine learning algorithms for comparison purposes to determine the performance of ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

There was an error while loading. Please reload this page. Title: Pathfinding using Breadth-First Search (BFS) or Depth-First Search (DFS) Use/purpose of project: The ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Abstract: Modern image recognition has experienced dramatic improvements because of Machine Learning and Deep Learning algorithms together. This study investigates CNNs and SVMs for recognition ...

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