Review: Raspberry Pi – anidees AI-PI (Aluminium-Gehäuse) [GERMAN/DEUTSCH]

Heute möchte ich euch ein Gehäuse für den Raspberry Pi vorstellen. Das besondere an dem anidees AI-PI ist, dass es aus Plexiglas und Aluminium besteht. Dadurch sieht es deutlich edler als herkömmliche Plastikgehäuse aus.

Shop von Caseking: http://aklam.io/dTrf9h

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Intro: Made by Robert M.

Amazon Partner-Link: http://goo.gl/yLm1bT

Facebook: http://goo.gl/PMdbc

Twitter: http://goo.gl/pp4Vh

Impressum: http://www.karesyk.de/impressum/

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Facebook’s Caffe2 AI tools get to iPhone, Android, and also Raspberry Pi

Your smart phone may soon have the possibility to determine items in photographs free of gaining access to the cloud

New intelligence can be included with mobile phones similar to the iPhone, Android products, and low-power computers similar to Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 can be used to program artificial intelligence features into tablets and smartphones, allowing them to understand pictures, video clip, text message, and speech and be more situationally aware.

It is critical to note that Caffe2 isn’t an AI program, but a tool enabling AI to be programmed into smart phones. It takes just some lines of code to write learning models, which could then be included into mobile apps.

The launch of Caffe2 is extremely important. This means users will be ready to get image identification, natural language processing, and computer vision straight on their cell phone. That work is generally offloaded to remote servers in the cloud, with smart phones then connecting to it.

Mobile devices are obtaining more artificial intelligence capabilities. More cellular phones are being bundled with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for years. Samsung’s Galaxy S8 smart phones are due to get the Bixby voice assistant, which will make using the handsets far easier.

Caffe2 can work within the power constraints of mobile devices. It works with mobile hardware to facilitate AI applications and create neural networks.

Caffe2 uses the computing power of latest mobile hardware to quicken up deep-learning jobs. By way of example, in smart phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cellular SoC.

Read more at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

PS Vita + Raspberry Pi + RC Servo + Ai-Ballの実験

PS VitaからRaspberry PiにつないだRCサーボを動かせるようにした。
PS VitaにはWi-FiカメラAi-Ballの画像を表示している。

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Facebook’s Caffe2 AI tools travel to iPhone, Android, and also Raspberry Pi

Your cell phone may soon have the ability to figure out objects in images without the need for getting access to the cloud

New intelligence can be combined with phones for example, the apple iphone, Android gadgets, and low-power personal computers similar to Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 allows you to program artificial intelligence features into smartphones and tablets, permitting them to recognize graphics, video, textual content, and speech and be more situationally aware.

It’s vital to remember that Caffe2 is not an AI program, but a tool enabling AI to be programmed into phones. It requires just a couple of lines of code to write learning models, which can then be bundled into mobile apps.

The release of Caffe2 is significant. It means users will be capable to get image recognition, natural language processing, and computer vision right on their mobile phone. That task is generally offloaded to remote servers in the cloud, with phones then connecting to it.

Mobile products are obtaining more artificial intelligence functions. More cell phones are being bundled with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 phones are due to get the Bixby voice assistant, that ought to make operating the handsets a lot easier.

Caffe2 can work within the power constraints of mobile products. It works with mobile hardware to facilitate AI apps and create neural networks.

Caffe2 takes advantage of the computing power of new mobile hardware to hasten deep-learning tasks. For instance, in phones, Caffe2 will utilize the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cellular SoC.

Gather more information at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Log AI (mini-project) – A Raspberry Pi DIY Amazon Echo in a wooden log

This was my Christmas holiday mini-project, shot entirely as a Snapchat story a few months back and then edited slightly for YouTube.

It’s basically a Raspberry Pi Powered DIY Amazon Echo, I built using the Alexa Voice Service.

Instead of cold plastic I decided to build the home AI hub into the body of a nice wooden log.

~ CREDITS ~

All the music in this video was created by an AI music composer at Jukedeck.com

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Facebook’s Caffe2 AI tools get to iPhone, Android, and Raspberry Pi

Your mobile may soon be able to recognise items in images without the need of getting access to the cloud

New intelligence can be added to smart phones just like the iPhone, Android gadgets, and low-power computer systems such as Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 may be used to program artificial intelligence features into smartphones and tablets, letting them realize photographs, movie, text, and speech and be more situationally aware.

It’s important to take note that Caffe2 is not an Artificial intelligence program, but a tool making it possible for AI to be programmed into mobile phones. It takes a very few lines of code to write learning models, which could then be incorporated into apps.

The launch of Caffe2 is important. It means people will be ready to get image recognition, natural language processing, and computer vision straight on their mobile phone. That job is commonly offloaded to remote servers in the cloud, with mobile phones then connecting to it.

Mobile gadgets are having more and more artificial intelligence abilities. More devices are being incorporated with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 mobile phones are going to get the Bixby voice assistant, which should make using the devices far simpler.

Caffe2 can function within the power constraints of mobile gadgets. It works with mobile hardware to hasten up AI apps and create neural networks.

Caffe2 uses the computing power of cutting edge mobile hardware to hasten up deep-learning tasks. For example, in mobile phones, Caffe2 will use the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chips.

Continue reading at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Mycroft 2018 – Our vision for Mycroft at three.

Mycroft is more than a stand alone device. It is an open platform that will allow developers to add natural language processing to anything.

Here we show what Mycroft will be capable of in 2018.

Mycroft will span all of your devices and provide seamless interaction on your desktop, mobile device, embedded speaker or automobile. It is more than a voice interface or a simply voice control system, Mycroft is an AI for everyone.

https://www.facebook.com/aiforeveryone/

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Facebook’s Caffe2 AI tools go to iPhone, Android, and also Raspberry Pi

Your phone may soon be able to acknowledge things in graphics without the need of accessing the cloud

New intelligence can be combined with smartphones for instance, the apple iphone, Android OS devices, and low-power PCs similar to Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 may be used to program artificial intelligence features into tablets and smart phones, letting them recognize photos, video, text, and speech and be more situationally aware.

It’s vital to take note that Caffe2 isn’t an AI program, but a tool enabling AI to be programmed into mobile phones. It does take just a couple of lines of code to write learning models, which can then be included into mobile apps.

The launch of Caffe2 is crucial. It indicates people will be in the position to get image recognition, natural language processing, and computer vision straight on their mobile. That process is commonly offloaded to remote servers in the cloud, with mobile phones then connecting to it.

Mobile gadgets are receiving more artificial intelligence abilities. More smartphones are being included with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 mobile phones are due to get the Bixby voice assistant, that ought to make operating the devices far easier.

Caffe2 can work within the power constraints of mobile gadgets. It works with mobile hardware to increase the speed of AI apps and create neural networks.

Caffe2 employs the computing power of new mobile hardware to increase the speed of deep-learning tasks. One example is, in mobile phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cellular SoC.

Find more at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Top 10 Best Raspberry Pi Projects ▶1

We decided to make a very special top of 10 best projects based on Raspberry Pi Computers. These RPi Creations are worth seeing. Enjoy it and don’t forget to SUBSCRIBE! If we missed some cool projects, add their names in comments below.

CLICKABLE TIME:
00:00 – Tingbot : the creative app platform for Raspberry Pi
02:30 – Mycroft : an Open Source Artificial Intelligence For Everyone
03:35 – Piper Computer Kit : Build Your First Real Computer
04:40 – Rapiro : The Humanoid Robot Kit for your Raspberry Pi
05:50 – Sparkfun
06:33 – Dj Vinyl System
07:33 – BrickPi : LEGO Bricks with a Raspberry Pi Brain
09:49 – GoPiGo : The Delightful Raspberry Pi Robot
11:33 – AlexaBot
12:25 – Rasptouch : Standalone Audio Player Raspberry Pi 3

LINKS:
http://tingbot.com

Open Source AI For Everyone


https://www.buildpiper.com
http://www.rapiro.com
https://www.sparkfun.com

Home


http://rasptouch.audiophonics.fr

Do you want to ask us a question?
Our e-mail: official.mr.tech@gmail.com
We will answer as soon as possible!

***ignore tags***
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source

Facebook’s Caffe2 AI tools get to iPhone, Android, and also Raspberry Pi

Your smart phone may soon be capable of know things in pictures devoid of accessing the cloud

New intelligence can be included with cellular phones including the apple iphone, Android OS products, and low-power computers including Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 allows you to program artificial intelligence features into tablets and mobile phones, allowing them to acknowledge pictures, video, text, and speech and be more situationally aware.

It’s important to take note that Caffe2 is not an Artificial intelligence program, but a tool making it possible for AI to be programmed into smart phones. It takes a very few lines of code to write learning models, which could then be included into applications.

The launch of Caffe2 is significant. It signifies people will be able to get image recognition, natural language processing, and computer vision directly on their mobile. That task is commonly offloaded to remote servers in the cloud, with smart phones then connecting to it.

Mobile gadgets are obtaining more and more artificial intelligence features. More smartphones are being incorporated with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 smart phones are due to get the Bixby voice assistant, which should make operating the phones significantly easier.

Caffe2 can work within the power constraints of mobile gadgets. It works with mobile hardware to speed up AI applications and create neural networks.

Caffe2 uses the computing power of latest mobile hardware to hasten up deep-learning jobs. Such as, in smart phones, Caffe2 will take advantage of the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell SoC.

Discover more at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Top 10 Coolest Raspberry Pi Projects

Get exclusive videos when you join the Geeks Life Family! http://geekslife.com

How GEEKY can you go?!? Oh… that’s supposed to be “low”? Oh well…

Rasberry Pi is 4 years old this week! To celebrate the NEW Rasberry Pi 3 with WiFi and Bluetooth integration, let’s take a look at the Top 10 Coolest Rasberry Pi projects!

Get all the details and even MORE projects at geekslife.com/rasberrypiprojects

Get exclusive videos when you join the Geeks Life Family! http://geekslife.com

Gear Used to Shoot This Episode:
– Sony AX100 4K Camera – http://amzn.to/1nPsQDm
– RODE NTG4 PLUS Microphone – http://amzn.to/1nyC0nY
– (2) PBL Soft Box Lights – http://amzn.to/1NPHUX9
– (3) Manfrotto 1×1 LED Lights – http://amzn.to/1lT2bE5
– ProPrompter HDi Pro2 LCD – http://amzn.to/1nPtilb (This is the iPad version. Full LCD version here – http://www.bodelin.com/proprompter/proprompter-hdi-pro2-lcd)

source

Facebook’s Caffe2 AI tools get to iPhone, Android, and also Raspberry Pi

Your mobile may soon be able to recognize objects in photographs without getting access to the cloud

New intelligence can be included to cellular devices including the iPhone, Android products, and low-power PCs such as Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 enables you to program artificial intelligence features into tablets and smartphones, allowing them to understand photos, video, text, and speech and be more situationally aware.

It’s vital to take note that Caffe2 isn’t an AI program, but a tool permitting AI to be programmed into smartphones. It requires just some lines of code to write learning models, which could then be bundled into mobile apps.

The introduction of Caffe2 is important. It indicates people will be in the position to get image identification, natural language processing, and computer vision directly on their phone. That work is normally offloaded to remote servers in the cloud, with smartphones then connecting to it.

Mobile gadgets are obtaining more artificial intelligence features. More mobiles are being bundled up with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for years. Samsung’s Galaxy S8 smartphones are due to get the Bixby voice assistant, which will make operating the mobile phones easier.

Caffe2 can work within the power constraints of mobile gadgets. It works with mobile hardware to increase the speed of AI apps and create neural networks.

Caffe2 takes advantage of the computing power of cutting edge mobile hardware to facilitate deep-learning tasks. For example, in smartphones, Caffe2 will use the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell SoC.

Discover more at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Raspberry Pi Simon Game

Hardware Challenge – AI for Robotics, Fall 2015

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Facebook’s Caffe2 AI tools get to iPhone, Android, as well as Raspberry Pi

Your phone may soon be capable of realize things in pictures with no need of getting access to the cloud

New intelligence can be included with mobiles like the apple iphone, Android OS gadgets, and low-power PCs including Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 can be used to program artificial intelligence features into smartphones and tablets, permitting them to recognize photographs, video clip, text message, and speech and be more situationally aware.

You ought to note that Caffe2 is not an AI program, but a tool allowing for AI to be programmed into phones. It takes just a couple lines of code to write learning models, which can then be bundled into apps.

The launch of Caffe2 is extremely important. This means users will be capable to get image identification, natural language processing, and computer vision directly on their mobile. That process is typically offloaded to remote servers in the cloud, with phones then connecting to it.

Mobile gadgets are having more and more artificial intelligence capabilities. More cellular phones are being bundled up with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for many years. Samsung’s Galaxy S8 phones are going to get the Bixby voice assistant, that ought to make using the handsets far simpler.

Caffe2 can work within the power constraints of mobile gadgets. It works with mobile hardware to facilitate AI applications and create neural networks.

Caffe2 employs the computing power of new mobile hardware to hasten deep-learning tasks. To illustrate, in phones, Caffe2 will take advantage of the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cellular chipsets.

Keep reading at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

The Magic Mirror: Powered by a Hosted Web App and Windows 10 on Raspberry Pi

Check out a web-based app using a Raspberry Pi and camera to create a mirror that readies the owner to take on their day. In this session, we’ll talk about how hosted web apps provide a new way of delivering rich local experiences with dynamic, server-side content.

source

Facebook’s Caffe2 AI tools travel to iPhone, Android, plus Raspberry Pi

Your phone may soon be capable of figure out things in images without getting access to the cloud

New intelligence can be added to mobile devices similar to the iPhone, Android devices, and low-power personal computers such as Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 may be used to program artificial intelligence features into tablets and smart phones, permitting them to acknowledge images, video, text, and speech and be more situationally aware.

You ought to take note that Caffe2 is not an AI program, but a tool allowing AI to be programmed into smart phones. It does take just a few lines of code to write learning models, which could then be incorporated into mobile apps.

The launch of Caffe2 is critical. It signifies people will be able to get image identification, natural language processing, and computer vision right on their mobile. That work is often offloaded to remote servers in the cloud, with smart phones then connecting to it.

Mobile gadgets are getting more artificial intelligence features. More cellphones are being incorporated with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for a long time. Samsung’s Galaxy S8 smart phones are going to get the Bixby voice assistant, that ought to make using the handsets significantly easier.

Caffe2 can work within the power constraints of mobile gadgets. It works with mobile hardware to boost AI applications and create neural networks.

Caffe2 employs the computing power of new mobile hardware to accelerate deep-learning tasks. As an illustration, in smart phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell SoC.

Discover more at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Mycroft – Open Source AI Solutions with Raspberry Pi is Successfully Funded

Mycroft – Open Source AI Solutions with Raspberry Pi is Successfully Funded.

source

Facebook’s Caffe2 AI tools choose iPhone, Android, and Raspberry Pi

Your mobile may soon be able to recognize objects in pictures without the need for accessing the cloud

New intelligence can be included with mobiles similar to the iPhone, Android devices, and low-power personal computers like Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 enables you to program artificial intelligence features into smartphones and tablets, enabling them to understand photographs, video clip, textual content, and speech and be more situationally aware.

You ought to realize that Caffe2 isn’t an AI program, but a tool enabling AI to be programmed into smart phones. It does take just a few lines of code to write learning models, which can then be incorporated into apps.

The release of Caffe2 is significant. This means people will be capable to get image identification, natural language processing, and computer vision right on their phone. That work is normally offloaded to remote servers in the cloud, with smart phones then connecting to it.

Mobile gadgets are obtaining more and more artificial intelligence functions. More cell phones are being included with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for a long time. Samsung’s Galaxy S8 smart phones are due to get the Bixby voice assistant, that ought to make using the mobiles a lot easier.

Caffe2 can function within the power constraints of mobile gadgets. It works with mobile hardware to quicken AI apps and create neural networks.

Caffe2 uses the computing power of new mobile hardware to boost deep-learning jobs. For instance, in smart phones, Caffe2 will take advantage of the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cellular chipsets.

Get more information at http://www.pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html

Top 5 RaspberryPi based projects ▶2

Heart of these projects is RaspberryPi
Kits, Modules and more: http://amzn.to/1Jb62aB

Top 5 RaspberryPi based projects ▶1: https://www.youtube.com/watch?v=plYeHEhhOaY
Top 5 RaspberryPi Robot Projects – https://youtu.be/j_1JFnwOFwI?list=PLygSyNRdCGpGrhF1xhgapYq8XnA3HDAva
Top 5 Things for RaspberryPi – https://youtu.be/SWLJfWMpnkU?list=PLygSyNRdCGpGrhF1xhgapYq8XnA3HDAva
Monday special 🙂

Links:
Ares – easyarts3d.com
pi-topCEED – pi-top.com
Plusberry Pi – plusberrypi.com
FABtotum PRISM – fabtotum.com
Mycroft – mycroft.ai

CLICKABLE TIME – VIDEO INDEX
00:00 – Ares
02:30 – pi-topCEED
04:33 – Plusberry Pi
06:20 – FABtotum PRISM
09:40 – Mycroft

If you have any questions, please, write us:
tech.hd.channel@gmail.com

source

Facebook’s Caffe2 AI tools reach out to iPhone, Android, and Raspberry Pi

Your phone may soon have the ability to realize things in photos with no need of accessing the cloud

New intelligence can be included to cellular phones just like the apple iphone, Android OS gadgets, and low-power personal computers like Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 enables you to program artificial intelligence features into tablets and smartphones, permitting them to identify photos, movie, textual content, and speech and be more situationally aware.

It is critical to understand that Caffe2 isn’t an Artificial intelligence program, but a tool permitting AI to be programmed into smart phones. It does take just a few lines of code to write learning models, which can then be included into apps.

The launch of Caffe2 is critical. It implies users will be in the position to get image identification, natural language processing, and computer vision straight on their phone. That job is usually offloaded to remote servers in the cloud, with smart phones then connecting to it.

Mobile products are receiving more artificial intelligence functions. More cellphones are being bundled up with Amazon’s Alexa and Google Assistant, while Apple’s Siri has been a staple in the iPhone for a long time. Samsung’s Galaxy S8 smart phones are due to get the Bixby voice assistant, which will make using the mobile phones incredibly easier.

Caffe2 can function within the power constraints of mobile products. It works with mobile hardware to increase the speed of AI apps and create neural networks.

Caffe2 uses the computing power of new mobile hardware to accelerate deep-learning jobs. By way of example, in smart phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon mobile chipsets.

Find more at http://pcworld.com/article/3190759/artificial-intelligence/facebooks-caffe2-ai-tools-come-to-iphone-android-and-raspberry-pi.html