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1
Intro
2
ACM President
3
Two paradigms for AI
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Symbolic and biological paradigms
5
Programming
6
Neural nets
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Random weights
8
Rosenblatt
9
Winter
10
How Neural Networks Work
11
Types of Learning Algorithms
12
Supervised Learning
13
Back Propagation
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Backpropagation
15
Silly Theories
16
Conference Rejection
17
Technical Advances
18
Acoustic Modeling
19
Object Recognition
20
Machine Translation
21
Future of Computer Vision
22
Future of Neural Networks
23
Handwriting Recognition
24
Perceptual World
25
Hierarchy
26
Bill Recognition
27
Face Detection
28
Pedestrian Detection
29
Segmentation
30
Panopticon Network
31
Medical Image Analysis
32
Breast Cancer Detection
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MRI Data Collection
34
Translation with Neural Networks
35
Image Segmentation
36
Reinforcement Learning
37
Training a Robot
38
Training a Car
39
Developmental Psychology
40
Object permanence
41
Wheres the salvation
Description:
Watch a captivating Turing Lecture delivered by Geoffrey Hinton and Yann LeCun, two of the three recipients of the 2018 ACM A.M. Turing Award for their groundbreaking work in deep neural networks. Explore the evolution of artificial intelligence, from symbolic and biological paradigms to the revolutionary advancements in neural networks. Delve into various learning algorithms, including supervised learning and backpropagation, and discover how these techniques have transformed fields such as acoustic modeling, object recognition, and machine translation. Gain insights into the future of computer vision, handwriting recognition, and medical image analysis. Learn about cutting-edge applications in reinforcement learning, including training robots and self-driving cars. This comprehensive lecture also touches on developmental psychology concepts and concludes with thought-provoking discussions on the broader implications of AI advancements.

Deep Learning Revolution: Turing Award Lecture by Geoffrey Hinton and Yann LeCun

Association for Computing Machinery (ACM)
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