Chapter
Exploring the benchmarks of Artificial Intelligence and Machine Learning
In this podcast, the speakers discuss benchmarks to measure AI and Machine Learning's ability to reason and access working memory, such as the BABY tasks, and provide advice on avoiding exaggerated claims regarding AI's similarity to the human brain.
Clips
The first patent about convolutional neural networks was awarded to NCR, as they were commercially using it.
31:11 - 33:23 (02:11)
Summary
The first patent about convolutional neural networks was awarded to NCR, as they were commercially using it. The second patent was awarded on the updated version with separate pooling layers and back prop.
ChapterExploring the benchmarks of Artificial Intelligence and Machine Learning
EpisodeYann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
PodcastLex Fridman Podcast
Building intelligent virtual systems with common sense is a challenge for the technology industry, requiring the joint efforts of the worldwide research community, and startups claiming to have the secret to artificial general intelligence should not be trusted.
33:23 - 34:46 (01:23)
Summary
Building intelligent virtual systems with common sense is a challenge for the technology industry, requiring the joint efforts of the worldwide research community, and startups claiming to have the secret to artificial general intelligence should not be trusted.
ChapterExploring the benchmarks of Artificial Intelligence and Machine Learning
EpisodeYann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning
PodcastLex Fridman Podcast
The classical paradigm of supervised learning involves partitioning data into a training, validation, and test set.
34:46 - 38:08 (03:22)
Summary
The classical paradigm of supervised learning involves partitioning data into a training, validation, and test set. The community has accepted benchmark tasks such as the BABY tasks proposed by FAIR to test machines' ability to reason and access working memory.