| Welcome | |
| Keynote by Priyanka Vergadia | |
| Women Techmakers Panel: Gender Inclusion in Tech | Panelists Janine Lee and Sherry Yang will be discussing their experiences as women and leaders in the tech industry, how to be a better ally for women and minorities in tech, and how to create opportunity pipelines for women, including gender-inclusive interviewing and hiring practices. Moderated by Chryssa Jones. |
| Stage 1: State of Angular | |
| Stage 2: Using Cloud Storage to reduce Google Workspace License Costs | |
| Stage 1: A Survey of the State of the Art in Language Models for Code | Large language models trained on code have shown very promising results! This talk will cover what work is being done by the research community in this area. An overview of the state-of-the-art in this area, as well as recent work done by DeepMind, Google Research, Meta, OpenAI, and Microsoft Research will be presented. |
| Stage 2: Lit CSS is Super-Powered | Lit's CSS system combines several web platform features to provide one of the fastest, lightweight and most powerful styling systems out there. Learn how Lit's CSS system provides scoping, modules and shared styles, variables, automatic bundler support, and lets you build your own abstractions with functions and JavaScript. And it's all available with no build system, using standard CSS syntax, and it's built with just dozens of lines of JavaScript. |
| Stage 1: An intro to GRPC with Go | A gentle introduction to gRPC, beginning with underlying concepts and ending with a couple of demos. |
| Stage 2: Similarity-Based Machine Learning | In this talk, Hannes Hapke, lead machine learning engineer from Digits introduces similarity based machine learning. He’ll explain how Digits is using similarity learning to build the next generation of finance tools. Hannes shares the team’s learning about the implementation, training, deployment, production aspects and how the team integrated the product end-to-end with Google Cloud. |
| Stage 1: Chrome Extensions | Learn how to build extensions for Google Chrome |
| Stage 2: Generative Art & Design with TensorFlow | This talk provides an introduction of how AI can be used to assist and inspire the artists and designers in their creative space. You will also learn how to use advanced features of TensorFlow 2.x, Keras and TensorFlow Lite to train and deploy models to applications. This talk is for anyone: data scientists, ML engineers, artists or designers who are interested in applying deep learning models for generative art & design. Topics covered: - Generative art and design - TensorFlow 2.x and Keras - TensorFlow Lite and on-device ML |
| Stage 1: Real-time Machine Learning | What is real-time machine learning, the state of real-time machine learning, its infrastructural challenges, and possible solutions. |
| Stage 2: Simplifying Angular with Standalone Components | Angular now has Standalone Components, and this back to the future themed talk will teach you all about how they work. |
| Event Wrap-up and Prize Giveaways | |
