Artificial Intelligence: The Basics

Exactly how intelligent is artificial intelligence? And how closely can machines mimic human intelligence? We explore these questions, and review the ways artificial intelligence is improving our world. From digital assistants to automated X-ray readings, artificial intelligence can be found in many industries.

What is deep learning?

If you've ever held a conversation with Siri, you've used deep learning. Systems such as Siri, Alexa and Cortana are driven in part by deep learning, a type of machine learning that trains a computer to complete human-like tasks. Speech recognition, image recognition and natural language processing are all powered by deep learning, which trains a computer to learn on its own by recognizing patterns. How can you use it? And how will it affect your industry.

What is natural language processing (NSP)?

Who would have guessed 10 years ago that you could hold a conversation with your phone or tell your thermostat to turn up the heat? Today, it's not uncommon to ask for a weather report, add to your grocery list and play your favorite music by voice command – and get immediate results.

Natural language processing is the central technology behind these advancements. But how do your devices understand language? And how can these same technologies be used in a business setting? From text mining to natural language processing and natural language understanding, find all the answers here

What is machine learning?

Machine learning isn’t new. But now it's high-powered. And that’s giving this decades-old mathematical science new momentum in the world of big data.

Self-driving vehicles? That's machine learning in action. Email spam filters and online shopping recommendations? That's machine learning for everyday life. Fraud detection? One of the more obvious – and important – uses in our world today. Discover how machine learning can help you find answers to complex problems.

What is predictive analytics?

So you’ve embraced the power of collecting and analyzing data. That’s a great first step, but it just scratches the surface. To get the most out of your data, you need to anticipate the future, not just analyze the past.

What is computer vision?

Find out how a computer goes from "seeing" an image as a series of pixels to interpreting what's in the image and what it means. You'll learn how image segmentation, feature matching and object detection all play a role in this process – and how computer vision is used for everything from detecting cancer to assessing insurance claims.

What are neural networks?

Neural networks are computer programs designed to imitate how the human brain learns and searches for patterns. Often referred to as artificial neural networks (ANNs), they are ideally suited to solving real-world problems in different fields. Much like a human brain, they can be trained over time to improve their interpretations of data.