Mitsubishi Electric has developed the world’s first Automated Design Deep Learning Algorithm to automatically design deep-learning structures for the fast, low-cost development of artificial intelligence (AI) systems, without the input of specialized professionals, which can be adapted to diverse user environments and devices. The algorithm adapts to the specific purposes of each system and designs deep learning automatically without expert knowledge by using learning data and high-level inferences to each instrument’s environment based on learning data. It is expected to support the effective structuring of networks and reduce the trial and error of design. The algorithm eliminates the need for specialized knowledge or experts, thereby lowering the cost of development.
Development is expected to require from just a few minutes to a few hours, whereas development by professionals can take from a few days to a few of weeks. The new Automated Design Deep Learning Algorithm designs the structures and initial parameters of deep learning by extracting the most characteristic data from learning data without overlaps. The new system will enable AI to be used in diverse business fields, such as high-level information processing. The AI market was estimated to be worth 3.6 trillion yen (approximately US$ 35 billion) in 2015 and annual growth is expected to average 30 percent, according to Ernst & Young Institute. Mitsubishi Electric will present its new system at the International Conference on Neural Information Processing (ICONIP2016) from October 16 through 21 at Kyoto University.
