Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Why do mobile devices need to have AI chips?

The incorporation of AI chips has not only helped to achieve greater efficiency and computational power, but it has also preserved the user's data and privacy. The advantages of including AI chips on mobile devices can be listed as follows:

• Performance: The CPUs of mobile devices in the current date are unsuitable to the demands of machine learning. Attempts to deploy machine learning models on these devices often results in slow service and a faster battery drain, leading to bad user experience. This is because the CPUs lack the efficiency to do enormous amounts of small calculations as required by the AI computations. AI chips, somewhat similar to Graphical Processing Units (GPU) chips that ...