Making artificial intelligence practical, productive, and 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, etc). 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!
Accelerating ML innovation at MLCommons
MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.
In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).
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Featuring
- David Kanter – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- Learn more about People’s Speech
- Get involved with the People’s Speech project
- MLCube GitHub, including several different examples
- MLCube Mailing list
- MLPerf Training Benchmarks
- MLPerf Training HPC Benchmarks
- MLPerf Inference Datacenter Benchmarks
- MLPerf Inference Edge Benchmarks
- MLPerf Inference Mobile Benchmarks
- MLCommons on Twitter