Posted by Zerzar Bukhari, Product Manager, G Suite
In February 2019, we announced upcoming changes to the Google Groups Settings API. Based on your feedback, we're making improvements to the Groups API to make it easier for you to assess the impact and take action. For the full list of changes, see this help center article.
When will API changes take effect?
The new features will be available starting March 25, 2019. It may take up to 72 hours for the features to rollout to everyone
What's changing?
For complete detail on Groups Settings API behavior changes, please reference this table.
Posted by Roy Glasberg, Head of Launchpad
Launchpad's mission is to accelerate innovation and to help startups build world-class technologies by leveraging the best of Google - its people, network, research, and technology.
In September 2018, the Launchpad team welcomed ten of the world's leading FinTech startups to join their accelerator program, helping them fast-track their application of advanced technology. Today, March 15th, we will see this cohort graduate from the program at the Launchpad team's inaugural event - The Future of Finance - a global discussion on the impact of applied ML/AI on the finance industry. These startups are ensuring that everyone has relevant insights at their fingertips and that all people, no matter where they are, have access to equitable money, banking, loans, and marketplaces.
Tune into the event from wherever you are via the livestream link
The Graduating Class of Launchpad FinTech Accelerator San Francisco'19
Since joining the accelerator, these startups have made great strides and are going from strength to strength. Some recent announcements from this cohort include:
We look forward to following the success of all our participating founders as they continue to make a significant impact on the global economy.
Want to know more about the Launchpad Accelerator? Visit our site, stay updated on developments and future opportunities by subscribing to the Google Developers newsletter and visit The Launchpad Blog.
Posted by Roy Glasberg, Founder of Launchpad Accelerator
For the past six years, Launchpad has connected startups from around the world with the best of Google - its people, network, methodologies, and technologies. We have worked with market leaders in over 40 countries across 6 regional programs (San Francisco, Brazil, Africa, Israel, India, and Tokyo). Launchpad also includes a new program in Mexico announced earlier this year, along with our Indie Games Accelerator and Google.org AI for Social Good Accelerator programs.
We are pleased to announce that the next cohort of startups has been selected for our upcoming programs in Africa, Brazil, and India. We reviewed over 1,000 applications for these programs, and were thoroughly impressed with the quality of startups that indicated their interest. The startups chosen represent those using technology to create a positive impact on key industries in their region and we look forward to supporting them and connecting them with startup ecosystems around the world.
In Africa, we have selected 12 startups from 6 African countries for our 3rd class in this region:
In India, for our 2nd class, we are focused on seed to growth-stage startups that operate across a number of sectors using ML and AI to solve for India-specific problems:
In Brazil, we have chosen startups that are applying ML in interesting ways and are solving for local challenges.
Applications are still open for Launchpad Accelerator Mexico - if you are a LATAM-based startup using technology to solve big challenges for that region, please apply to the program here.
As with all of our previous regional classes, these startups will benefit from customized programs, access to partners and mentors on the ground, and Google's support and dedication to their success.
Stay updated on developments and future opportunities by subscribing to the Google Developers newsletter, as well as The Launchpad Blog.
Posted by Billy Rutledge (Director) and Vikram Tank (Product Mgr), Coral Team
AI can be beneficial for everyone, especially when we all explore, learn, and build together. To that end, Google's been developing tools like TensorFlow and AutoML to ensure that everyone has access to build with AI. Today, we're expanding the ways that people can build out their ideas and products by introducing Coral into public beta.
Coral is a platform for building intelligent devices with local AI.
Coral offers a complete local AI toolkit that makes it easy to grow your ideas from prototype to production. It includes hardware components, software tools, and content that help you create, train and run neural networks (NNs) locally, on your device. Because we focus on accelerating NN's locally, our products offer speedy neural network performance and increased privacy — all in power-efficient packages. To help you bring your ideas to market, Coral components are designed for fast prototyping and easy scaling to production lines.
Our first hardware components feature the new Edge TPU, a small ASIC designed by Google that provides high-performance ML inferencing for low-power devices. For example, it can execute state-of-the-art mobile vision models such as MobileNet V2 at 100+ fps, in a power efficient manner.
Coral Camera Module, Dev Board and USB Accelerator
For new product development, the Coral Dev Board is a fully integrated system designed as a system on module (SoM) attached to a carrier board. The SoM brings the powerful NXP iMX8M SoC together with our Edge TPU coprocessor (as well as Wi-Fi, Bluetooth, RAM, and eMMC memory). To make prototyping computer vision applications easier, we also offer a Camera that connects to the Dev Board over a MIPI interface.
To add the Edge TPU to an existing design, the Coral USB Accelerator allows for easy integration into any Linux system (including Raspberry Pi boards) over USB 2.0 and 3.0. PCIe versions are coming soon, and will snap into M.2 or mini-PCIe expansion slots.
When you're ready to scale to production we offer the SOM from the Dev Board and PCIe versions of the Accelerator for volume purchase. To further support your integrations, we'll be releasing the baseboard schematics for those who want to build custom carrier boards.
Our software tools are based around TensorFlow and TensorFlow Lite. TF Lite models must be quantized and then compiled with our toolchain to run directly on the Edge TPU. To help get you started, we're sharing over a dozen pre-trained, pre-compiled models that work with Coral boards out of the box, as well as software tools to let you re-train them.
For those building connected devices with Coral, our products can be used with Google Cloud IoT. Google Cloud IoT combines cloud services with an on-device software stack to allow for managed edge computing with machine learning capabilities.
Coral products are available today, along with product documentation, datasheets and sample code at g.co/coral. We hope you try our products during this public beta, and look forward to sharing more with you at our official launch.
