This rubric focuses on computer vision, and how computers can gain high-level understanding from data derived from digital images or videos. Topics also include haptics and other examples of computer sensory input, as well as concepts such as generative adversarial networks and AI-driven image recognition.
Data science is all about extracting the information from the data gathered. As data has become one of the essential entities in today’s world, it drives… Read More »Data Visualization 101: 4 Tips To Convert Data To Information Quickly
Data science uses many different probability distributions, but some are used more than others. This one picture shows an overview of five probability distributions data… Read More »Different Probability Distributions in One Picture
There are many ways to deal with time-data. Sometimes one can use it as time-series to take possible trends into account. Sometimes this is not… Read More »How to make time-data cyclical for prediction?
Picture by By Tatiana Shepeleva/shutterstock.com One of the most challenging problems in modern theoretical physics is the so-called many-body problem. Typical many-body systems are composed… Read More »Neural Quantum States
Summary: Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification… Read More »We See in 3D – So Should Our CNN Models
