Speaker

Jason Mayes

Jason Mayes

Web AI Lead, Google

San Francisco, California, United States

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Jason is the Web AI lead at Google, helping web engineers globally to get productive with machine learning in JavaScript. Jason is the author of the first Web AI course on Google Developers and EdX, that have enabled over 50,000 students start their journey with Machine Learning in the browser. Jason combines his knowledge of the technical and creative worlds to develop innovative prototypes for Google's largest customers and internal teams with 20+ years experience working within web engineering and investigating emerging technologies.

He holds an MEng in Computer Science, is a member of the British Computing Society, and is a certified information privacy technologist. Jason loves sharing knowledge online which has attracted a global following.

Connect with Jason:

LinkedIn: https://www.linkedin.com/in/WebAI/
Twitter: https://twitter.com/jason_mayes
Facebook: https://facebook.com/JasonDiscovers
Discord: https://discord.com/invite/hkfpPkk
Github: https://github.com/jasonmayes

Area of Expertise

  • Information & Communications Technology

Topics

  • Artificial Intelligence
  • Machine Learning
  • Web ML
  • AI & Machine Learning
  • Computer Vision
  • Natural Language Processing
  • HCI
  • Human Computer Interaction
  • Startup Innovation & Creativity
  • Creative Coding
  • Creative Technology
  • Next Generation Web Apps
  • Web Apps
  • Web
  • JavaScript
  • ES6
  • Web Development
  • Modern Web
  • Modern Web and UX
  • Web Applications

Demystifying Machine Learning for the rest of us

As JS developers, taking your first steps unraveling the many layers of Machine Learning can be quite daunting. What exactly is the difference between Artificial Intelligence, Machine Learning, or Deep Learning? Everyone is using these terms but few can explain the difference between them. How does Machine Learning actually learn? What exactly are Tensors anyhow? This keynote will give you the 101 you need to feel comfortable in this area via a high level behind the scenes tour of how it actually works - no PhD in mathematics required. Aimed at everyone, so come along, no matter if you are a designer, engineer, or something else all together, this talk will enable you to build your confidence in this space to enjoy any future Web AI / ML talks you may attend.

Machine Learning powered web apps in Angular with TensorFlow.js

In this session you'll learn more about TensorFlow.js and see how you can build a prototype that lets you control your app with hand gestures!

Google AI for JS developers with TensorFlow.js Keynote

Join Google's AI Lead Laurence Moroney and their Web ML Lead Jason Mayes as they give you the lay of the land of the Google AI ecosystem along with a 101 on how you can leverage machine learning in your web apps via TensorFlow.js to gain superpowers by today's standards. Web ML usage has grown exponentially over the past 3 years by JS developers so it's time to get onboard and inspired with this fast paced keynote that will enable everyone, no matter what your background, to get up to speed with AI in the web world enabling you to bring your ideas to life faster than ever before.

DevFest 2024 Hong Kong Sessionize Event

November 2024 Hong Kong

DevFest London 2024 Sessionize Event

November 2024 London, United Kingdom

AI Summit Vancouver Sessionize Event

November 2024 Vancouver, Canada

DevFest Yogyakarta 2023 Sessionize Event

November 2023 Yogyakarta, Indonesia

JSTalks Bulgaria 2020 Sessionize Event

November 2020 Sofia, Bulgaria

Jason Mayes

Web AI Lead, Google

San Francisco, California, United States

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