Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

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 ...

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 ...

Background: Maternal and child health remains a global public health issue, particularly in low- and middle-income countries where maternal and child mortality are extremely high. The World Health ...

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 ...

1 Instituto Oceanográfico, Universidade de São Paulo, São Paulo, Brazil 2 Instituto do Mar, Universidade Federal de São Paulo, Santos, Brazil Predicting ecological communities is highly challenging ...

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 ...