This document discusses how to build a DIY Google Home device using a Raspberry Pi by installing the Google Assistant SDK. It outlines downloading the AIY Projects Voice Kit image, flashing it to an SD card, configuring the hardware including a microphone and speaker. It also covers setting up a developer project on Google Cloud and enabling the necessary APIs, as well as installing the Python SDK and libraries and providing a demo of the Assistant working on the Raspberry Pi. Potential applications discussed include integrating it with IFTTT and other sample projects.
There are a few main reasons why we think Google Home will eventually win and it all comes back to data. The main aspects to consider are: how much data do you have access to, what can you do with it, and how easy is it to access.
As IoT continues to evolve, we constantly examine the latest gear and trends to understand the impact and possibilities. This understanding helps us guide our clients and explore new solutions.
Check out our evaluation of Google Home and Amazon Echo both in office and at home to compare their capabilities.
Jeff Dean at AI Frontiers: Trends and Developments in Deep Learning ResearchAI Frontiers
In this talk at AI Frontiers conference, Jeff Dean discusses recent trends and developments in deep learning research. Jeff touches on the significant progress that this research has produced in a number of areas, including computer vision, language understanding, translation, healthcare, and robotics. These advances are driven by both new algorithmic approaches to some of these problems, and by the ability to scale computation for training ever large models on larger datasets. Finally, one of the reasons for the rapid spread of the ideas and techniques of deep learning has been the availability of open source libraries such as TensorFlow. He gives an overview of why these software libraries have an important role in making the benefits of machine learning available throughout the world.
There are a few main reasons why we think Google Home will eventually win and it all comes back to data. The main aspects to consider are: how much data do you have access to, what can you do with it, and how easy is it to access.
As IoT continues to evolve, we constantly examine the latest gear and trends to understand the impact and possibilities. This understanding helps us guide our clients and explore new solutions.
Check out our evaluation of Google Home and Amazon Echo both in office and at home to compare their capabilities.
Jeff Dean at AI Frontiers: Trends and Developments in Deep Learning ResearchAI Frontiers
In this talk at AI Frontiers conference, Jeff Dean discusses recent trends and developments in deep learning research. Jeff touches on the significant progress that this research has produced in a number of areas, including computer vision, language understanding, translation, healthcare, and robotics. These advances are driven by both new algorithmic approaches to some of these problems, and by the ability to scale computation for training ever large models on larger datasets. Finally, one of the reasons for the rapid spread of the ideas and techniques of deep learning has been the availability of open source libraries such as TensorFlow. He gives an overview of why these software libraries have an important role in making the benefits of machine learning available throughout the world.
Google I/O is the annual developer conference of Google. This slide is what I shared at 2019/6/15 in Google Developer Group Taipei. See the meetup event here:
https://www.meetup.com/GDGTaipei/events/261869964/
We do a basic intro to using Python on a Raspberry Pi. We start by using the PiStop from the worksheet, but then go to build a touch screen based photo booth.
Giving back with GitHub - Putting the Open Source back in iOSMadhava Jay
My experience helping take an in house Swift library and making it into an Open Source framework available on GitHub and Package Management repositories like Cocoapods. Any questions or feedback appreciated @madhavajay
Google I/O is the annual developer conference of Google. This slide is what I shared at 2019/6/15 in Google Developer Group Taipei. See the meetup event here:
https://www.meetup.com/GDGTaipei/events/261869964/
We do a basic intro to using Python on a Raspberry Pi. We start by using the PiStop from the worksheet, but then go to build a touch screen based photo booth.
Giving back with GitHub - Putting the Open Source back in iOSMadhava Jay
My experience helping take an in house Swift library and making it into an Open Source framework available on GitHub and Package Management repositories like Cocoapods. Any questions or feedback appreciated @madhavajay
18. Configure and test Mic
sudo nano /etc/asound.conf
arecord --format=S16_LE --duration=5 --rate=16000 --
file-type=raw out.raw
aplay --format=S16_LE --rate=16000 out.raw
19. Configure a Dev Project on gCloud
• https://developers.google.com/assistant/sdk/develop/python/config-
dev-project-and-account
• https://aiyprojects.withgoogle.com/voice#users-guide-1-2--turn-on-
the-google-assistant-api
• Activity Controls Page, enable these
• Web & App Activity
• Device Information
• Voice and Audio Activity
Amazon Echo and Google Home are the personification of voice assistants, offering them a spot in the home where you can interact with them on an ongoing basis throughout your day, rather than just as a tool on your pocket computer and that’s the key to starting a long journey toward our dystopian Her-like future.
Put here latest Echo Plus, Spot and Other Additions. Also the Max and Mini
Not available in India yet, so let’s build one
Marvell 88DE3006 Armada 1500 Mini Plus dual-core ARM Cortex-A7 media processor
Toshiba TC58NVG1S3HBA16 256 MB NAND flash
Marvell Avastar 88W8897 WLAN/BT/NFC SoC
Texas Instruments TAS5720 audio amplifier
Samsung K4B4G16 512 MB B-Die DDR3 SDRAM