Update for Woggle: The Raspberry Pi AI.

This is a quick update to do with the housing for my Raspeberry Pi chatbot. The prototype is made from balsa wood and a tin lid in proper Blue Peter style.

You can download the code I used for Woggle here: https://therustyrocket.wordpress.com/portfolio/woggle/ Please remember it’s just a bit of fun. If you make your own Woggle I would love to see how it turned out.


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

Your smart phone may soon be capable of recognise things in pictures without the need for accessing the cloud

New intelligence can be added onto mobile devices like the iPhone, Android gadgets, 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, letting them identify photographs, video clip, text message, and speech and be more situationally aware.

You ought to realize that Caffe2 isn’t an AI program, but a tool letting AI to be programmed into phones. It requires only a couple of lines of code to write learning models, which can then be incorporated into apps.

The introduction of Caffe2 is crucial. It indicates people will be ready to get image recognition, natural language processing, and computer vision right on their smartphone. That job is usually offloaded to remote servers in the cloud, with phones then connecting to it.

Mobile gadgets are getting more and more artificial intelligence features. More smartphones are being bundled 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 phones are due to get the Bixby voice assistant, which should make operating the mobile phones 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 uses the computing power of latest mobile hardware to increase the speed of deep-learning tasks. For example, in phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chipsets.

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

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