We look forward to May since it feels like Christmas for developers. At Google IO 2022, Google shared many key themes of opportunities for developers. In this post, I wanted to highlight my favorite themes that felt actionable.
Themes on AI and Machine Learning
All cloud providers serve a broad range of developers. Machine learning professionals love using tools like Keras, Sci-kit learn, and TensorFlow to grow innovations using a robust open-source. Google Cloud and Firebase empower developers at all levels to incorporate AI capabilities in their applications through API and cloud APIs. The following videos summarize resources and tools if you are getting started with the Google ecosystem of machine learning.
As a web developer, I really enjoy exploring the eco-system of TensorFlow (TF) and TensorFlow Lite using TensorFlow.JS. TensorFlow.JS enables web developers to embed the power of TF into your applications.
If you’re interested in connecting with other Orlando developers on ML innovations from Google IO, consider joining us for Google IO Extended (Orlando)
Google I/O Extended Orlando
Join GDG Central Florida as we review the exciting news and announcements from the Google I/O conference. We’ll reflect on the latest tools and advancements in machine learning, new CSS tricks, cloud technology, the web platform, PWAs, Angular, Flutter 3, and Firebase. It’s a great time to connect with like-minded Google innovators. Join us for a beer, wings, great conversation, and community.
- WHEN: May 31st @ 7:00 pm
- Location: Island Wing Company near UCF
- Register for the event here
Google Cloud, Vertex AI, and Cloud Run
In the following talk, you can explore ways to integrate data in FireStore with machine learning solutions. Vertex AI provides tooling to empower developers to create custom machine learning models, test them from the cloud console, and deploy them to a scalable production environment. This video also explores Google Cloud Run, a cool serverless tool for executing jobs. Developers love patterns like Cloud Run since it enables developers to focus on code and avoid infrastructure complexity.
Augmented Reality, ARCore, and smart glasses
Since my teams work with Augmented Reality technology on a regular basis, I tend to enjoy the sessions connected to XR technology. We believe that Augmented Reality provides many opportunities for medical and maintenance professionals to gain new skills while remaining in the context of their work environments. During the official keynotes, Google shared various consumer use cases for Augmented reality. I really liked their concept demo for Google Smart glasses that empowered two people to enjoy a conversation when they do not speak the same language. This demo leverages the latest speed advances in speech to text and translation capabilities.
If you want to play with some of the newer capabilities of Google AR Core, consider checking out the following applications on the Google Play Store: ARCore Elements and ARCore Depth Lab. Since I started playing with AR, I have always felt positioning 3D content to a geospatial coordinate would open novel opportunities. In the future, I would love to see 3D artists share their work at a public park or mall. These opportunities become possible with improvements in geolocation improvements and connecting them to augmented reality. Check out the “PocketGarden” source code below.
- https://github.com/buck-co/PocketGarden (Geospatial API demo)
- https://github.com/googlecreativelab/balloon-pop ( Demo app for AR Core)
New Toys From Google Chrome
Over the years, I have grown to appreciate Google’s strategy of innovation by promoting open standards and open-source. In the following talk, you can check out new tools, CSS patterns, and APIs for advancing the web platform.
“Discover the top 10 web things to know from Chrome at Google I/O 2022, from UI stability across browsers to new features in Chrome DevTools and more.”
References
- https://blog.google/technology/developers/io-2022-keynote/
- https://www.youtube.com/watch?v=8UY02Nf0l6A
- https://wandb.ai/telidavies/ml-news/reports/Google-I-O-22-Keynote-Recap-For-Machine-Learning–VmlldzoxOTkwMzY2
- Coral Dev Board – https://www.youtube.com/watch?v=hS-NiaGeeVA
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