ОРЕАНДА-НОВОСТИ. 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 will shorten development time and reduce costs compared to current methods in which professionals manually design AI. 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. It eliminates the need for specialized knowledge or experts, thereby lowering the cost of development.

Adapting design to the specific usage environment is essential for effective AI. However, the idea of non-experts designing deep learning was thought to be impossible because of the complexity involved. 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. Conventionally, this required the involvement of experts making high-level inferences about specific environments. The idea is based on "Neocognitron," image processing algorithm considered based on visual cortex.

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 Co., Ltd.