Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
While the pace of AI innovation is quick, it is not without obstacles. Navigate around impediments with insights from this article.
Facial recognition is a field within AI and computer science that seeks to give machines the ability to interpret human faces. This beginner’s guide explains types of face recognition processes, how they work, various applications and how accurate they are today.
Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
AI in education is a field of evolving research, development and implementation. Discover the various forms, where they are used, and the machine learning models behind them.
What is edge computing in simple terms? Learn how edge artificial intelligence and edge computing are improving modern technology.
Discover seven key factors that can help you choose the best algorithm for a machine learning project.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
Enrich your data with our range of human-annotation services at scale.