Original post → https://goo.gle/35iCkgI
Gabi Ferrara and Jon Foust are joined today by fellow Googler Zack Akil to discuss machine learning and AI advances at Google. First up, Zack explains some of the ways AutoML Vision and Video can be used to make life easier. One example is how Google Photos are automatically tagged, allowing them to be searchable thanks to AutoML. Developers can also train their own AutoML to detect specific scenarios, such as laughing in a video.
We also talk Cloud Next 2019 and learn how Zack comes up with ideas for his cool demos. His goal is to inspire people to incorporate machine learning into their projects, so he tries to combine hardware and exciting technology to think of fun, creative ways developers can use ML. Recently, he made a smart AI bicycle that alerts riders of possible danger behind them through a system of lights and a project to track and photograph balls as they fly through the air after being kicked.
To wrap it all up, Zack tells us about some cool projects he’s heard people use AutoML for (like bleeping out tv show spoilers in online videos!) and the future of the software.
For more GCP Podcasts → https://goo.gle/30x1aYn
Subscribe to the Google Cloud Platform channel → https://goo.gle/GCP
Publisher: Google Cloud
You can watch this video also at the source.