Danika Hannon - The Impact of Quantum Computing on Artificial Intelligence

04/07/21 • 41 min

We've all heard the hype about Quantum Computing, but what does it really mean for Artificial Intelligence? In this episode, Danika Hannon breaks down what Quantum Computing is, how it's different from classical computing, and discusses real-world use cases of how it's going to change the landscape of what we'll be able to do with AI in the future.
We also discuss women in technology and her work with a number of organizations such as Women in Quantum that are helping to be a resource for women to collaborate and have fun with fellow female quantum academics, students, entrepreneurs, investors, and government representatives. Danika continues to give back through her work with Girls on the Run and helping women have more confidence in life.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

Resources and Topics Mentioned in this Episode

Enjoy!
Your host,
Justin Grammens

Resources and Topics Mentioned in this Episode

Enjoy!
Your host,
Justin Grammens

Previous Episode

Bongjun Kim - Sound Recognition and Audio Signal Processing with Machine Learning

If you ever wondered how Alexa, Siri, Google can be trained to recognize and process audio, this is the episode for you! In this episode, we speak with Bongjun Kim. Bongjun is an AI researcher at 3M. He completed his Ph.D. in Computer Science at Northwestern University and his research interests include Machine Learning, Audio Signal Processing (e.g. sound event recognition), interactive intelligent systems, multimedia information retrieval, and human-in-the-loop interfaces. He also enjoys working on a musical interface and interactive media art.
I love this quote from him, "You need to look at the data before you choose your model. Please review the images, audio, or video to make sure your assumptions are valid." Wise words from an expert. I also highly suggest you pick up a copy of the book he recommends called Learning From Data listed in the liner notes below. I've started reading it and have found it fascinating and insightful!
To connect with Bongjun, visit his personal website.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

Resources and Topics Mentioned in this Episode

Enjoy!
Your host,
Justin Grammens

Next Episode

Mike Hugo - Using AI Technologies for Biomedical Analysis

One of the areas in which Artificial Intelligence is making a huge impact on our lives is the areas of biomedical analysis. In this episode, I'm joined by Mike Hugo - CTO, and Co-founder at Vyasa Analytics. We discuss all of the latest and greatest trends going on in this amazing field and discuss everything from Transformer Models to his favorite books and what a Pteranodon is! I hope you enjoy this conversation and huge thanks to Mike for taking the time to break this complex subject down and explain it in clear and simple terms.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

Resources and Topics Mentioned in this Episode

Enjoy!
Your host,
Justin Grammens

Conversations on Applied AI - Danika Hannon - The Impact of Quantum Computing on Artificial Intelligence

Transcript

Danika Hannon 0:00
I look at quantum computing as an engine for AI being able to take us places where we couldn't before, because with quantum computing, there's a couple of advantages that it has over classical computers, where quantum computers can analyze more data than classical computers can. And they can also do it faster than a classical computer can. So that opens up all of these problem areas that we couldn't really dive into before because we didn't have the computing power for i