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

Your smart phone may soon be able to acknowledge things in images free of accessing the cloud

New intelligence can be added to mobiles similar to the apple iphone, Android OS products, and low-power computer systems such as Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.

Caffe2 allows you to program artificial intelligence features into tablets and cell phones, permitting them to recognize images, video clip, text message, and speech and be more situationally aware.

It is critical to realize that Caffe2 is not an Artificial intelligence program, but a tool allowing AI to be programmed into smartphones. It does take just some lines of code to write learning models, which can then be bundled into mobile apps.

The launch of Caffe2 is extremely important. It signifies users will be ready to get image recognition, natural language processing, and computer vision directly on their cell phone. That task is generally offloaded to remote servers in the cloud, with smartphones then connecting to it.

Mobile devices are getting more and more artificial intelligence functions. More mobiles 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 smartphones are going to get the Bixby voice assistant, that ought to make operating the handsets easier.

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

Caffe2 uses the computing power of new mobile hardware to hasten up deep-learning jobs. To illustrate, in smartphones, Caffe2 will use the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell SoC.

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