Stan Leong describes Mozilla's activities in Emerging Markets.

An overview of what we are working on at Mozilla - from new Firefox releases to WASM and much more! Ali Spivak is the Director of Developer Relations at Mozilla, and leads Mozilla’s developer documentation (MDN), content, events, and community participation initiatives.

Brian Birtles shares his pet peeves about web animation, and offers some technological solutions.

Kathy Giori introduces Mozilla WebThings, which offers a private, secure, and interopable IoT solution that's not dependent on storage in the cloud.

Karl Dubost introduces webcompat.com and speaks about the challenges of browser compatibility. His Mozilla colleague Daisuke Akatsuka speaks about Firefox DevTools and a browser compatibility-checker tool that's under development.

Singapore-based developer advocate Hui Jing Chen opens her CSS Subgrid talk in Korean (presentation in English).

Head of Audience Insights at Mozilla, Venetia Tay describes the research her team has done to arrive at their user-centric perspective on privacy in the browser.

A presentation by Singapore-based Grab engineer Sriraghavan Subramanian describes optimization of single page apps using techniques from the backend.

New Zealand based Research Engineering manager Phil Lamb describes Mozilla's Mixed Reality offering and the web platform that's underlying.

In part three of Machine Learning Zero to Hero, AI Advocate Laurence Moroney ([email protected]) discusses convolutional neural networks and why they are so powerful in Computer vision scenarios. A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this video you'll see how they work, by processing an image to see if you can extract features from it! Codelab: Introduction to Convolutions → http://bit.ly/2lGoC5f This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish. Watch more Coding TensorFlow → http://bit.ly/2lytA4j Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3