19.61K

01:08:06

MIT 6.S094 Deep Learning Basics: Introduction and Overview

Welcome, everyone to 2019 it’s really good to see everybody here make it in the cold This is 6.S094 deep learning for self-driving cars It is part of a series of courses on deep learning that we’re running throughout this month The website that you can get all the content the videos the lectures and […]

1.02M

239.64K

19:13

3Blue1Brown: Deep Learning, Chapter 1: But what is a neural network? •

This is a 3. It’s sloppily written and rendered at an extremely low resolution of 28×28 pixels, but your brain has no trouble recognizing it as a 3. And I want you to take a moment to appreciate how crazy it is that brains can do this so effortlessly. I mean this, this, and this […]

9.33M

13.34K

51:31

MIT 6.0002 11. Introduction to Machine Learning

The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or to view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. Okay, welcome back. You know, it’s that time of term when […]

977.69K

572

01:31:09

Stephen Wolfram on Artificial Intelligence and The Future of Humanity

29.69K

1.64K

38:27

ICLR 2021 Keynote by Michael Bronstein: Geometric Deep Learning – the Erlangen Programme of ML

30.75K

266

36:02

Machine Learning Discussion with Daphne Koller and Yoshua Bengio •

First of all, let me introduce Daphne Koller. It’s really a great honor for me to introduce her today, for you. She’s, as many of you know, a machine learning star, but she’s also an incredible achiever. Recipient of numerous awards, nominated among the most important people, most influential people and game changers by the […]

10.84K

2.65K

01:12:04

Biomedicine and Machine Learning

75.68K

5.27K

06:03

Computerphile: AI Safety

175.54K

10.01K

11:21

Computerphile: AI Self Improvement

388.11K

18.85K

08:30

Computerphile: Deadly Truth of General AI?

In a very basic sense, if you’ve got a general intelligence, which therefore has preferences over world states and takes actions in the world to change the world, we have to make sure that its preferences are aligned with ours, that it wants what we want, because otherwise it’s going to try and do things […]

823.53K

8.27K

07:40

Computerphile: Holy Grail of AI

Right, so last time, which was quite a while ago, we were talking about intelligence in general, and the way that you can model intelligence as an optimization process. This was the Hill Club in Algorithm. Yeah, that was an example that we gave. We were using evolution as an example of an optimizing algorithm, […]

481.13K

54

17:20

Computerphile: More Deep Learning

So this might be something that’s actually going on in the head of the of the estate agent because they’ve got experience and all of the exactly happening exactly exactly Well, then we I don’t know if you’re not an ex estate agent or a real estate agent Then you might not know this and […]

866

6.12K

11:06

Computerphile: Deep Learning

Tell me about deep learning. Maybe it gets slightly Matthew, but we can just go after with an example to see what the things are. But one typical example is if someone wants to say automatically what is the price of a property. So there are certain variables that are important for property, you know, […]

394.78K

853

01:30:52

MIT AGI: Cognitive Architecture

So today we have Nate Derbinski. He’s a professor at Northeastern University working on various aspects of computational agents that exhibit human level intelligence. Please give Nate a warm welcome. Applause Thanks a lot and thanks for having me here. So the title that was on the page was cognitive modeling. I’ll kind of get […]

43.99K

1.69K

01:17:38

MIT AGI: How the Brain Creates Emotions

We have Lisa Feldman Barrett with us. She is a University Distinguished Professor of Psychology at North Eastern University, Director of the interdisciplinary Effective Science Laboratory, author of the new, amazing book, How Emotions Are Made, The Secret Life of the Brain. She studies emotion, human emotion, from social, psychological, cognitive science and neuroscience perspectives.

64.49K

2.50K

01:55:04

MIT AGI: Computational Universe

Today we have Stephen Wolfram. Wow That's of course I didn't even get started you're already clapping In his book a new kind of science he has explored and revealed the power of beauty and complexity of cellular automata As simple computational systems were which incredible complexity can emerge

115.27K

0

52:29

MIT AGI: Future of Intelligence

Today we have Ray Kurzweil. He is one of the world's leading inventors, thinkers, and futurists, with a 30-year track record of accurate predictions, called the Restless Genius by the Wall Street Journal and the ultimate thinking machine by Ford's magazine.

0

0

01:35:09

MIT AGI: Building machines that see, learn, and think like people.

Today we have Joshua Tenenbaum. He's a professor here at MIT, leading the computational cognitive science group. Among many other topics in cognition and intelligence, he is fascinated with the question of how human beings learn so much from so little. And how these insights can lead to build AI systems that are much more efficient learning from data. So please give Joshua a warm welcome.

0

0

51:19

MIT AGI: Artificial General Intelligence

Course 6S099 will explore the nature of intelligence from as much as possible an engineering perspective. My voice will be that of an engineer. Our mission is to engineer intelligence.

0