W3C is organizing a virtual workshop on the intersection of Machine Learning (ML) and Web browsers. By exploring the impact of machine learning technologies on Web browsers and Web applications, as well as evaluating the opportunities for standardization around ML APIs and formats, the workshop's goal is to help enrich the Open Web Platform and provide better foundations for machine learning.
Expected attendees are coming from a variety of industries and communities: ML service providers, frameworks and platforms, cloud computing providers, hardware and chip providers, browser vendors, experts on the intersection of machine learning privacy, security, accessibility, SDOs, etc.
Attendance is free for all invited participants and is open to the public, whether or not W3C members. Participants are encouraged to submit a proposal for a talk related to one of the suggested topics: opportunities and challenges of browser machine learning, Web platform foundations for machine learning, developers' and users' perspectives in machine learning experiences on the Web, etc.
As this is a virtual workshop, a set of pre-recorded presentations selected from the call for participation is going to be released over July-August, and the live discussions are organized in September 2020.
More information is available in the Call for Participation: https://www.w3.org/2020/06/machine-learning-workshop/