The IoT is going to need AI before too long to handle the vast computations and statistical analysis. In a recent announcement, Socionext and SOINN have said that they will team up on a trial for integrating SoC-based data sensing technology and AI to develop solutions and new businesses. The first step of the trial is to have the “Artificial Brain SOINN” learn data collected by Socionext’s integrated medical IoT solution, viewphii, and then verify the result with the goal of providing better monitoring of health conditions and predictions of future risks. The objective of the trial, the companies said, is to add to the functions and performance of AI to the IoT.
Artificial Brain SOINN is a self-learning, general-purpose artificial intelligence built by SOINN with a learning algorithm. Socionext leverages its data sensing technology based on its SoC expertise to enable the extraction of useful information out of sensor signals. Socionext is in charge of extraction of valuable data using its SoC sensing technology, as well as development of IoT applications and implementation. SOINN carries out fine-tuning of its self-learning algorithm.
As the first step of the trial, various biometric data obtained by viewphii will be provided along with general health check results to conduct learning on Artificial Brain SOINN, and estimate current health conditions and future risks. The learning on Artificial Brain SOINN will provide the opportunity to improve health condition monitoring and predict future risks in a short time with low cost. Completion of the analysis of the learning results and verification of effectiveness for this trial is scheduled in the end of October 2016.
Based on the outcome of this trial, SOINN will boost the improvement of its self-learning algorithm and accuracy for further evolution of Artificial Brain SOINN. Socionext will continue to establish new businesses, and promote new products and services through utilization of SoC-based sensing technology.
Welcome our soon-to-arrive Robot Doctor Overlords.
Edited by
Alicia Young
