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Pathfinding in Video Games

Pathfinding naturally arises in a variety of scenarios, whether it be navigating a labyrinth or determining the best route to get across campus. This is a relatively trivial problem for the human brain to tackle. For a computer however, it is not so simple to find the best path between two points. In video games, for example, an enemy must find the best path to avoid obstacles and pursue the player. There have been algorithms designed to tackle this problem in the past, but until the emergence of neural networks, these algorithms lacked efficiency.

You Only Look Once (YOLO): Unified, Real-time Object Detection

Object detection is a fundamental task in computer vision that involves identifying and locating objects of interest within an image or video. Unlike image classification, which assigns a single label to an entire image, object detection provides both the category and the precise location of objects by outputting bounding boxes around them. This dual capability makes it a crucial technology for a wide range of applications, including autonomous driving, medical imaging, and augmented reality.

Understanding Facial Recognition

Facial recognition technology has become an integral part of our daily lives due to its simplicity and practicality. We use it to unlock our phones, access mobile banking apps, and even secure our homes. In this article, we’ll explore the different ways facial recognition is used, how it works, and the challenges it faces. We’ll also take a closer look at FaceNet, a convolutional neural network (CNN) algorithm developed by Google in 2015. At last we’ll explore the fascinating connection the technology has to neuroscience.

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