A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...

Create a custom dataset ("MyDoodles") by drawing directly on a digital canvas. Implement Perceptron and Logistic Regression algorithms from scratch (without PyTorch/TensorFlow). Verify the Linear ...

Four new books grapple with a global mental-health crisis and the dawn of algorithmic therapy. We’re in the midst of a global mental-­health crisis. More than a billion people worldwide suffer from a ...

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

Abstract: Modern data collection processes and applications provide the ability to gather detailed spending patterns of large numbers of consumers. Additionally, modern on-line marketing programs ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Abstract: This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters. The enhanced algorithm, called ...

ABSTRACT: The purpose of this study was to address the challenges in predicting and classifying accuracy in modeling Container Dwell Time (CDT) using Artificial Neural Networks (ANN). This objective ...