In this video, Emmanuel Henri explores the basics of AI and its related branches.
- [Instructor] If you've been following the news, you have heard about artificial intelligence commonly shortened to AI or heard about machine learning or deep learning. What are all these different terms and how are they related? Let's start with artificial intelligence. AI is the general field of study where researchers and engineers explore how to make machines performing human tasks or better. It involves creating algorithms or formulas to make machines perform automated tasks like we do or even better.
It was first introduced in the '50s and over the past seven decades found its way in nearly all of our devices and tools we use. Have you recently searched for a term on Google? You're using AI. Are you using your cellphone for any task, Android or IOS? You're using AI. Have you purchased a fridge or oven recently? You're also using AI. You can literally look at the room you're watching this video in and most likely there are dozens of devices using AI.
Anywhere a device is using some form of algorithm to help you do tasks better, it is a form of AI in all its glory. AI usually finds its way into specific use or tasks. Since the computers we have nowadays are nowhere near the performance we need to replicate a human, compute processing power is focused on specific tasks, such as learning what we mean when we say give me the weather, an example of learning dialogue. How does machine learning and deep learning fit into this? They are branches or disciplines of AI.
In other words, when you work on machine learning programs, you're simply part of working in artificial intelligence. In fact, deep learning is a branch of machine learning and the latest branch of artificial intelligence. We'll explore in more details what each of these fields are.
- Improving UX using AI and ML
- Designing an interface
- Solving problems through design
- Defining inputs
- Working with neurons and synapses
- Designing a custom neural network