Your search engine is often the first interaction a user has with your company. There are many factors that go into making that search engine find and rank results from thousands or even millions of pages in a matter of seconds. Discover ten must-know search engine terms and components.
Natural language processing (NLP) is the term used to describe a machine’s ability to interpret and respond to language data. Learn why it is a key AI concept.
There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.
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.
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.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
Trust is fundamental to any use of machine learning — healthcare is no exception. Read on as we look at trust and machine learning in medicine.
What is edge computing in simple terms? Learn how edge artificial intelligence and edge computing are improving modern technology.
Enrich your data with our range of human-annotation services at scale.