Usage of Machine Learning (ML) and Neural Networks (NN) on smartphone's had been dramatically increased in the last couple of years, previously most of the deep learning computations were handled to cloud, there the processed results were sent back to the users smartphone.
By the innovations made possible by great minds and SoC manufactures like Qualcomm and other, there research and hard work had surpassed the computation power of SoC in smartphone over laptop computers. With Clock(ghz) rocking computation and GPU power available on smartphones, the applications developers started avoiding the cloud to use native hardware computation power for the better latency and offline availability. This move also protect users data privacy because none of your data had ever left your smartphone this reducing chances data theft or leak.
Year 2018 is going to skyrock On-board deep learning computation possibilities with dedicated hardware built in to System-on-Chip (SoC) to take maximum adva…