The Stephen Wolfram Podcast

A Conversation Between Terry Sejnowski & Stephen Wolfram (February 14, 2023) [Part 2]

Mar 10, 2023

01:47:18

Creator website

Episode guests

Terry Sejnowski

Stephen Wolfram

Highlights

AI Chapters

Episode notes

Is There a History of Machine Learning?

03:18

How to Make a Learning Algorithm Work for You

03:39

What Does Solve the Problem Mean?

02:48

Introduction

2min

Is It Possible to Reduce a Loss in a Neural Network?

2min

The Origin of the Back Prop Idea

3min

Using Backpropagation in a Network

2min

How to Make a Learning Algorithm Work for You

4min

The Biola Jones Face Detector

2min

How to Get 10% Better Performance Out of Back Propagation

5min

The Brain Will Be a Source of Inspiration for Decades to Come

2min

Neural Nets - A History of Computer Science

2min

10.

Is There a Future for DARPA?

2min

11.

The Image Net Competitions, Right?

2min

12.

Is That an Apocryphal Story?

2min

13.

GPUs, When Did They Come on the Scene?

2min

14.

Is That the on Lecun's Limit?

2min

15.

Caltech - The CNS Program

2min

16.

What if You Can Change the Hamiltonian?

2min

17.

Is That the Original Hopfield Network Idea?

2min

18.

Is It More, It Is Better?

3min

19.

Is There a History of Machine Learning?

3min

20.

Is It a Bug or a Feature?

2min

21.

The World Works on a Millisecond Time Scale

3min

22.

What's the Next Stage?

2min

23.

The Reverse Turing Test

2min

24.

Is It a Meta-Algorithm?

3min

25.

How Much Data Do You Need?

2min

26.

Is It Possible to Represent That With A?

2min

27.

Do You Know How to Measure a Brain's Behavior?

2min

28.

How Many Lizard Goddess Spots Are There?

3min

29.

The Dimensional Law of Motion

3min

30.

Then, You Know, You've Got a Problem, Right?

5min

31.

How Difficult Is This?

2min

32.

What Does Solve the Problem Mean?

3min

33.

Learning a Black Box Function

3min

34.

How Randomizing Glasses Can Improve Learning Algorithms

2min

35.

What Kind of Neural Networks Did Robert Heck-Nealsons Use?

2min

36.

The Human Brain Project

2min

37.

Are There Algorithmic Developments of Back Propagation?

3min

38.

Is There a Narrative Scientific Story of How Neural Nets Work?

3min

39.

The Future Is Limitless, Right?

2min

40.

Neural Nets - The Only Existence Proof That Any Problem Could Be Solved, Right?

2min

41.

Chat GPT

2min

42.

What's the Outer Loop of Human Language?

2min

43.

The Architecture of the Brain Supports Execution of Computational Language

2min

44.

The History of Quantum Mechanics

2min

45.

Neural Networks - The Tree Grows From One Trunk

3min

Part 2 (of 2)—Stephen Wolfram plays the role of Salonnière in an on-going series of intellectual explorations with special guests. In this episode, Terry Sejnowski joins Stephen to discuss the the long story of how neural nets got to where they are. Watch all of the conversations here: https://wolfr.am/youtube-sw-conversations

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