In this video I give you an overview of my Raspberry Pi Cluster and explain how the Raspberry Pi 2 will help with this build. By creating the Raspberry pi 2 Cluster we can get one step closer to working on the “Jarvis” like AI programming.
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GeauxRobot Raspberry Pi B+ Stackable Case: http://goo.gl/F1LAc8
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Anker [3-Pack] Premium 3ft Micro USB http://goo.gl/w8DT6V
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Raspberry Pi 2 Projects – Raspberry Pi Cluster
Facebook’s Caffe2 AI tools choose iPhone, Android, and also Raspberry Pi
Your mobile may soon have the ability to understand objects in photos devoid of getting access to the cloud
New intelligence can be included to mobiles like the apple iphone, Android OS devices, and low-power computer systems similar to 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 realize graphics, video, textual content, and speech and be more situationally aware.
It’s vital to realize that Caffe2 is not an Artificial intelligence program, but a tool allowing for AI to be programmed into mobile phones. It requires only a few lines of code to write learning models, which can then be included into applications.
The launch of Caffe2 is critical. It means people will be ready to get image identification, natural language processing, and computer vision right on their smartphone. That work is normally offloaded to remote servers in the cloud, with mobile phones then connecting to it.
Mobile devices are getting more and more artificial intelligence features. More phones 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 mobile phones are due to get the Bixby voice assistant, which ought to make operating the devices far easier.
Caffe2 can work within the power constraints of mobile devices. It works with mobile hardware to accelerate AI apps and create neural networks.
Caffe2 employs the computing power of latest mobile hardware to hasten deep-learning tasks. To illustrate, in mobile phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chipsets.