Core based on python loop script , actions triggered from multiple BASH scripts . Databases are wikipedia ,wolfram etc, voice to text base on Google API.soon will put the code on my blog, here is the simple flowchart : http://www.sidmonitor.net/gallery/HAL_flowchart_ENG2.png
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Facebook’s Caffe2 AI tools reach out to iPhone, Android, and Raspberry Pi
Your mobile may soon have the ability to understand items in photographs free of gaining access to the cloud
New intelligence can be added onto cellular devices for instance, the iPhone, Android devices, and low-power computer systems just like Raspberry Pi with Facebook’s new open-source Caffe2 deep-learning framework.
Caffe2 can be used to program artificial intelligence features into tablets and mobile phones, permitting them to acknowledge photographs, movie, text, and speech and be more situationally aware.
You ought to be aware that Caffe2 is not an Artificial intelligence program, but a tool making it possible for AI to be programmed into mobile phones. It requires just a couple lines of code to write learning models, which could then be included into applications.
The introduction of Caffe2 is extremely important. It means users will be ready to get image identification, natural language processing, and computer vision right on their smartphone. That task is generally offloaded to remote servers in the cloud, with mobile phones then connecting to it.
Mobile gadgets are obtaining more artificial intelligence functions. More mobile 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 going to get the Bixby voice assistant, that ought to make using the mobiles easier.
Caffe2 can function within the power constraints of mobile gadgets. It works with mobile hardware to hasten AI applications and create neural networks.
Caffe2 uses the computing power of cutting edge mobile hardware to boost deep-learning jobs. To illustrate, in mobile phones, Caffe2 will harness the computing power of Adreno GPUs and Hexagon DSPs on Qualcomm’s Snapdragon cell chipsets.