AIs that look human and create portraits of humans

In this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

News from Daniel:

• AI portrait up for auction
• Graph ML related things:
  • Deepmind Graphnet library
  • Knowledge Graphs and ML
  • Semantic Scholar
• CSV conf

News from Chris:

• Magic Leap’s new AI assistant looks alarmingly human
• MIT Stephen A. Schwarzman College of Computing
• Deep-learning algorithm identifies dense tissue in mammograms

Learning resources:

• Neural network playground
• IBM AI Fairness 360
• Towards Data Science
• Artificial Intelligence: What’s The Difference Between Deep Learning And Reinforcement Learning?

Something missing or broken? PRs welcome!

Creators and Guests

Host

Chris Benson

Host

Daniel Whitenack

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!