SINGAPORE, Feb. 13, 2019 /PRNewswire/ -- Toshiba aims to be one of the world's leading cyber-physical systems (CPS) technology companies. What technology strengths does Toshiba have, and what kind of world does it aim to realize? Toshiba Corporation's CTO, Dr. Shiro Saito, talks strategy.
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Summary of Dr. Saito's interview is as follows:
Q: What is CPS, and how will cyberspace technology relate to physical, real-world technology?
A: Toshiba's aim is to be a company that solves social problems with technologies that fuse the cyber and the physical, the real world.
Although we use the word cyber, please think of an image of the human brain. Physical can be understood as products, such as the parts and materials, systems and services we see in the real world. We are increasingly able to use sensing and network technologies to gather information from product operations and from systems and services. We can then use AI and other technologies to analyze and understand that data in cyber space, and output it as feedback into the real world -- as optimal solutions, forecasts, and plans that add value to real world technologies, products and services. We believe that repetition of this cycle will lead to the creation of even newer technologies, products and services.
At Toshiba, things that are actually being realised through the merger of cyber and physical technologies include virtual power plants, railways and robotics. Some areas of focus would include SCiB™ rechargeable battery and semiconductors for electric automated vehicles. Currently, in the field of mobility, the wider penetration of e-vehicles is seen as the default route, and the key word is CASE, an acronym for connectivity, autonomous, shared and electric. When we think about how that will lead the way to automated driving, it's clear that technologies that Toshiba possesses, such as batteries and automotive semiconductors, will be essentials.
As for the direction of research and development, we are moving beyond "human-assisted AI" that tells us how to efficiently find results when we know the correct answer, and are now promoting development of "self-learning AI" where humans no longer have to provide advance teaching.
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