Stan Leong describes Mozilla's activities in Emerging Markets.

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.

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

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.

Machine Learning represents a new paradigm in programming, where instead of programming explicit rules in a language such as Java or C++, you build a system which is trained on data to infer the rules itself. But what does ML actually look like? In part one of Machine Learning Zero to Hero, AI Advocate Laurence Moroney (lmoroney@) walks through a basic Hello World example of building an ML model, introducing ideas which we'll apply in later episodes to a more interesting problem: computer vision. Try this code out for yourself in the Hello World of Machine Learning → https://goo.gle/2Zp2ZF3 This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish. Watch more Coding TensorFlow → https://bit.ly/Coding-TensorFlow Subscribe to the TensorFlow channel → http://bit.ly/2ZtOqA3