Chapter
What is Deep Learning and How is it Changing Engineering?
1:00:18 - 1:05:48 (05:30)
Deep learning, also known as neural networks, is a way of simulating a subset of brain activity to solve problems through a series of algorithms that exceed human understanding. This technology is revolutionizing engineering fields allowing for solutions beyond human design.
Clips
The world can be interesting when you look at iterative algorithms applied millions and billions of times.
1:00:18 - 1:02:02 (01:43)
Summary
The world can be interesting when you look at iterative algorithms applied millions and billions of times. This same concept applies to evolution, neural networks, and engineering and is seen in Wolfram's Rule 31, which unpacks into incredible complexity that is not repeating.
ChapterWhat is Deep Learning and How is it Changing Engineering?
Episode#317: Steve Jurvetson — The Midas Touch and Mind-Bending Futures
PodcastThe Tim Ferriss Show
Deep learning machine intelligence is revolutionizing the field of engineering as it enables scientists to build designs that exceed human understanding, pushing towards AI development, with discovery and emergence playing an important role in the process.
1:02:02 - 1:04:08 (02:06)
Summary
Deep learning machine intelligence is revolutionizing the field of engineering as it enables scientists to build designs that exceed human understanding, pushing towards AI development, with discovery and emergence playing an important role in the process.
ChapterWhat is Deep Learning and How is it Changing Engineering?
Episode#317: Steve Jurvetson — The Midas Touch and Mind-Bending Futures
PodcastThe Tim Ferriss Show
The concept of neural networks is inspired by the brain and is a way of simulating a brain-like subset, by activating neurons that are connected in a network to some others, crossing a threshold to fire.
1:04:08 - 1:05:48 (01:40)
Summary
The concept of neural networks is inspired by the brain and is a way of simulating a brain-like subset, by activating neurons that are connected in a network to some others, crossing a threshold to fire.