Is AI as smart as it seems? Exploring the "brain" behind machine learning, neural networker Alona Fyshe delves into the language processing abilities of talkative tech (like the groundbreaking chatbot and internet obsession ChatGPT) and...

Yann LeCun, the chief AI scientist at Facebook, helped develop the deep learning algorithms that power many artificial intelligence systems today. In conversation with head of TED Chris Anderson, LeCun discusses his current research into...

Animals are communicating -- but what are they saying? And can we talk back? Marine biologist David Gruber introduces Project CETI: a team of scientists, linguists and AI specialists hoping to decode sperm whale language. Using...

Today we’re going to teach John Green Bot how to tell the difference between donuts and bagels using supervised learning! Supervised learning is the process of learning WITH training labels, and is the most widely used kind of learning...

Machine intelligence is here, and we're already using it to make subjective decisions. But the complex way AI grows and improves makes it hard to understand and even harder to control. In this cautionary talk, techno-sociologist Zeynep...

An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.

An overview of what a neural network is, introduced in the context of recognizing hand-written digits.

Here's a paradox: as companies try to streamline their businesses by using artificial intelligence to make critical decisions, they may inadvertently make themselves less efficient. Business technologist Sylvain Duranton advocates for a...

An overview of what a neural network is, introduced in the context of recognizing hand-written digits.

Today we create a game and then build an AI to destroy it. Our game is called TrashBlaster, and it’s like Asteroids but with trash in the ocean, and instead of a spaceship John Green Bot is wielding a laser. We'll use machine learning...

So far in this series, we've mostly focused on how AI can interpret images, but one of the most common ways we interact with computers is through language - we type questions into search engines, use our smart assistants like Siri and...

Today, in our final lab, Jabril tries to make an AI to settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So...

As we mentioned last episode, one of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. In recent years, AI has made huge...

It's late, pitch dark and a self-driving car winds down a narrow country road. Suddenly, three hazards appear at the same time. With no human at the wheel, the car uses smart eyes, sensors that'll resolve these details all in a...

Educator and entrepreneur Sebastian Thrun wants us to use AI to free humanity of repetitive work and unleash our creativity. In an inspiring, informative conversation with TED Curator Chris Anderson, Thrun discusses the progress of deep...

We're on the edge of a new frontier in art and creativity -- and it's not human. Blaise Aguera y Arcas, principal scientist at Google, works with deep neural networks for machine perception and distributed learning. In this captivating...

AI algorithms make important decisions about you all the time -- like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human bias coded into their...

Taking cues from soft robotics and the natural world, conceptual artist Anicka Yi builds lighter-than-air machines that roam and react like autonomous life forms. Her floating "aerobes" inspire us to think about new ways of living with...

From Siri to Alexa to Google, virtual assistants already permeate our lives. What will the next generation of these digital helpers look and sound like? Customer experience professional Karen Lellouche Tordjman gives us a glimpse of...

John Green Bot wrote his first novel! Today, in our first ever Lab we’re going to program a neural network to recognize handwritten letters to convert the first part of John Green Bot’s novel into typed text. To do this we’re going to...

Google's fun new time-waster is actually a pretty advanced piece of Artificial Intelligence. And there's some (about 43%) good news about cement's carbon footprint this week!

How can we harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover? As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different:...

Today we're going to talk about Symbolic AI - also known as "good old-fashioned AI". Symbolic AI is really different from the modern neural networks we've discussed so far, instead, it represents problems using symbols and then uses...

Thanks to modern science and technology, we can predict what the weather will be like in 5 days, but it’s still a bit more challenging to predict what will happen to us and our societies.