Learning Machines 101
Smart machines employing artificial intelligence and machine learning are prevalent in everyday life.
For example, artificially intelligent systems recognize and produce speech, control bionic limbs for wounded warriors, automatically recognize and sort pictures of family and friends, disarm terrorist bombs, perform medical diagnoses, detect banking fraud and spam, trade stocks on the stock market, repel computer viruses, make purchasing suggestions on Amazon, deliver information upon request from Google, and automatically pilot vehicles on the ground, air, and outer space.
Such machines can even mimic biological human learning and biological human information processing!
These are just a few examples of how smart machines and artificial intelligence impact our everyday lives.
In this podcast series, we examine such questions as:
How do these devices work?
Where do they come from?
How can we make them even smarter?
And how can we make them even more human-like?
Learning Machines 101 is committed to providing an accessible introduction to the complex and fascinating world of Artificial Intelligence which now has an impact on everyday life throughout the world!
Who is the Intended Audience?
The intended audience for this podcast series is the general public and the intended objective of this podcast series is to help popularize and demystify the field of Artificial Intelligence by explaining fundamental concepts in an entertaining manner. However, many advanced topics in artificial intelligence and machine learning will be discussed at a “high-level” so students, scientists, and engineers working in the machine learning area may find this podcast series beneficial for identifying relevant “entry points” into advanced statistical machine learning topics. Relevant references to advanced readings are provided (when applicable) in the show notes for each episode.