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Google TensorFlowLite is made to perform AI algorithms right on smart phones
nineteen.05.20021 [15:51],
Konstantin Khodakovsky

Currently, AI computations are often carried out in the cloud, but Bing – like other huge organizations – wishes them becoming done entirely on the smartphone. Through the I / O 20021 developer summit, the search giant unveiled an innovative new effort to help bring AI down to earth: a mobile-optimized version of the TensorFlowLite device mastering collection.

The original TensorFlow was released in November 2021 and quickly became popular with researchers and developers building AI tools. A year ago Google revealed hardware accelerators TPU (Tensor Processor Unit) specifically for TensorFlow, and also this 12 months it launched the second generation. TensorFlow is flexible, trustworthy and contains a large amount of paperwork, which allows designers new to the field to understand the technology quicker. The latest version, TensorFlowLite, builds regarding the present ecosystem and enables you to bring machine discovering formulas to get results entirely on the product.

“this can be a library for programs designed to be quickly and tiny, but still use recommendations,” said Dave Burke of Bing. “We believe these brand new capabilities will help bring the next generation of speech recognition, visual search, augmented reality, and much more technologies to life right on the device.”.

The organization additionally revealed that in the future you will see an API that will allow machine discovering tasks be effective better with smartphone chips – perhaps utilizing extremely parallel calculations in the GPU, or even the organization wants specialized TPU obstructs in the future devices.

What is the advantage of operating AI on a device? Firstly, there will be less delay between a demand and an answer, secondly, an Internet connection is not needed, and thirdly, a greater level of privacy is provided (data does not leave the device). As a whole, the surroundings can be much more friendly.

Various other technology companies may also be wanting to move around in this course. Twitter calls it Caffe2Go – the technology was introduced last November and allowed the organization to generate filters for photographs and video clips considering neural networks that really work directly on the user’s product in real-time.