AI Technology
HEROZ, Inc.(HEROZ) possesses a unique core technology of artificial intelligence (AI) that has defeated professional shogi (Japanese chess) players in public matches developed by our top engineers. HEROZ has accumulated such a machine learning technique through the development of smartphone apps such as “Shogi Wars”, “CHESS HEROZ” and “BackgammonAce”.
Meanwhile, as a supporting member of the Japanese Society for Artificial Intelligence, HEROZ keeps up with the trend of cutting edge AI, considering it as an important strategic field.
Currently, HEROZ focuses on planning, developing and operating intellectual games for smart phones, however, will apply and expand its cutting edge AI technology in various fields in the future.
History of Programming Intellectual Games (Mind Sports)
Intellectual games have been gaining attention for AI development from the old times.
Chess(since 1910s)
Possible variations to move = about10120
DeepBlue defeated a human player (1997)
Shogi(since 1970s)
Possible variations to move = about10220
AI developed by HEROZ’ engineer defeats an active professional Shogi player (2013)
Go(since 1970s)
Possible variations to move = about10320
AlphaGo defeated a human player (2016, 2017)
History of AI Development for Shogi
An innovation of machine learning takes place in 2004.
In the next 10 years, AI reaches to an equivalent level as the top human professional shogi players.
Computer Shogi Software A chart showing the improvement of AI
Innovation of Machine Learning
Development of AI for shogi enters into the world of automatic learning by machines and machine power (cloud, cluster connection).
Innovation of Machine Learning
Development of AI for shogi enters into the world of automatic learning by machines and machine
Before adopting machine learning
Before adopting machine learning
Developers are required to have a thorough knowledge and understanding on shogi and programming
Developers must capture the essential features of shogi and verbalize human minds
After adopting machine learning
After adopting machine learning
Knowledge on shogi is not required
Technology is applicable to various fields
Developers must view shogi as a drawing sheet and produce evaluation function for judgements and decision makings by machine learning from big data
An Image of Evaluation Function Production by Machine Learning
Computer Learns and Produces the Evaluation Function
f(x) for Judgements and Decision Makings
By developing intellectual games, HEROZ accumulates AI related methods such as machine learning with the
use of big data and deep learning that can be applied to and utilized in various fields in the future.