Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 3min
Machine Learning and Deep Learning
02:55 • 4min
Soft War Code Programming
06:45 • 2min
The Basics of Machine Learning
08:45 • 2min
Why Machine Learning Models Need to Be Updated Regularly
11:10 • 4min
Machine Learning Applications Can Do Tasks Better Than Humans
14:46 • 3min
The Next Phase of a I
18:01 • 4min
A I and National Security
22:04 • 2min
Automated Target Detection and Fires
24:19 • 3min
A I Enabled Detection and Defensive Tools
27:30 • 4min
Open Source Machine Learning Algorithms Have Made Machine Learning More Flexible and Robust
31:27 • 2min
Machine Learning and Cloud Computing
33:33 • 3min
A I Models Are Only as Good as the Quality of the Training Data
36:26 • 3min
A I - The Next Generation of Decision Making
39:20 • 3min
A I Chips for Machine Learning
42:18 • 3min
A I Accelerator - A New Approach to Artificial Intelligence
45:20 • 3min
A I Accelerator Market Overview
48:18 • 3min
Unsupervised Machine Learning Classification Problems
51:25 • 3min
Unsupervised Learning vs Supervised Learning
54:24 • 5min