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

Your phone may soon be able to recognize objects in graphics with no need of getting access to the cloud

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

Caffe2 can be used to program artificial intelligence features into tablets and cell phones, letting them identify pictures, video, text message, and speech and be more situationally aware.

It is critical to take note that Caffe2 isn’t an Artificial intelligence program, but a tool making it possible for AI to be programmed into mobile phones. It does take just a couple lines of code to write learning models, which could then be incorporated into apps.

The introduction of Caffe2 is really important. It means users will be able to get image recognition, natural language processing, and computer vision directly on their mobile phone. That process is usually offloaded to remote servers in the cloud, with mobile phones then connecting to it.

Mobile products are obtaining more and more artificial intelligence abilities. More phones 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 mobile phones are set to get the Bixby voice assistant, which ought to make using the phones a lot 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 takes advantage of the computing power of new mobile hardware to accelerate deep-learning jobs. As an illustration, in mobile phones, Caffe2 will utilize the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon mobile chips.


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