By Noor H., Age 15 Often online shoppers will encounter “recommended for you” when buying items online at sites like Amazon, music services, and even news articles. How do they decide which items to target and which ads to use? Word suggestion in texting and typing is also common form technology that people… Continue reading What is Swapping and Why is it Vital For Coding?
By Daniel K., Age 14 The NEAT neuroevolution algorithm is a more advanced method of machine learning. Rather than creating multiple organisms and attempting to create newer versions of them until one succeeds by chance (like in evolution), NEAT adds a reward value to desirable actions and attempts to emulate human learning by… Continue reading The NEAT Neuroevolution Algorithm
By William O., Age 15 Often online shoppers will encounter “recommended for you” when buying items online at sites like Amazon, music services, and even news articles. How do they decide which items to target and which ads to use? Word suggestion in texting and typing is also common form technology that people… Continue reading Artificial Intelligence and Machine Learning
By Ethan S., Age 15 The movie Ready Player One was about fully immersive VR (virtual reality). Imagine if you could feel and touch everything you see in a VR headset and interact with it all too. That might seem like a not-so-distant future, however, that reality is closer than you might think. In Ready… Continue reading VR – Where Is It Now and Where Is It Headed?
By Ethan S., Age 15 If you think about some of the best selling indie (independent developer) hits, you’ll probably come up with a list that includes “Hyper Light Drifter,” “Undertale,” etc.; this is due to the fact that high-quality 2D games perform really well. However, there is a relative lack of memorable 2D games… Continue reading Why High-Quality 2D Games Sell Much Better Than High-Quality 3D Games- And Why There’s A Lack Of Them
By Camille D., Age 17 K-means clustering is one of the most widely used and straightforward machine learning algorithms. Its goal is to find groups or clusters within a set of data, the number of which is denoted by k. It is an iterative algorithm that partitions a dataset into subgroups such that the subgroups… Continue reading Advanced Machine Learning Techniques: K-Means Clustering Algorithm
By Camille D., Age 17 This article will focus on a method data scientists and programmers use to make data easier to explore, visualize, and interpret data, called principal component analysis (PCA). The explanations in this article assume some background in linear algebra and statistics. PCA is based on dimensionality reduction: “the process of reducing… Continue reading Advanced Machine Learning Techniques: Principal Component Analysis
By Mira B., Age 14 Many people use social media apps such as Instagram or Snapchat, which have face filters for people to take and post pictures of themselves. But many people do not realize how these filters are created and the technology behind how they fit people’s faces almost perfectly. The mechanics behind face… Continue reading How Face Filters and Face Recognition Work
By Camille D., Age 17 Developed in 2009 and made available in 2012, Julia is one of the fastest-growing languages in the industry. As it routinely makes an appearance in language popularity rankings, there is a potentiality for the language to outshine languages such as Python in the realm of computational science and general programming.… Continue reading The Julia Language – A New Pillar of Scientific Computing
By Noah S., Age 16 Web-scraping is exactly what it sounds like. Scraping the web for specific stuff, determined by the engineer. For example, instead of copy and pasting every book on a library website into a spreadsheet, a web-scraper can programmatically find every book title and paste it into an arraylist. The engineer then… Continue reading Web-Scraping and Its Uses