Watch on YouTube
Watch on Vimeo
ML Commons aims to build better machine learning for everyone through three pillars. We create benchmarks like the MLPerf suite that measure speed for ML training and inference from microwatts to megawatts. We build large, open, and public datasets such as The People’s Speech (30K hours of labeled speech), Multilingual Spoken Words Corpus (keyword spotting for 23M utterances in 50 languages) to empower the community to innovate. Last, we build best practices that reduce friction like MLCube, which provides a common container interface for ML models making them easier to share and use.
Personnel: David Kanter
Thank you for being part of the Tech Field Day community! Our mailing list is a great way to stay up to date on our events and technical content, and we appreciate your signup.
We promise that we’ll never spam you, send ads, or sell your information. This list will only be used to communicate with our community about our events and content. And we’ll limit it to no more than one message per week.
Although we only need your email address, it would be nice if you provided a little more information to help us get to know you better!
