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Invention of Ionic Decision-maker Capable of Self-Learning

—The Technology, Applicable to the Development of Novel AI Systems, Substitutes Ionic/Molecular Concentrations for Computer Processors and Memory—

National Institute for Materials Science

A NIMS research group has invented an ionic device, termed as ionic decision-maker, capable of quickly making its own decisions based on previous experience using changes in ionic/molecular concentrations. The group then succeeded in demonstrating its operation.

( “Ionic Decision-maker Created as Novel, Solid-state Devices” Takashi Tsuchiya, Tohru Tsuruoka, Song-Ju Kim, Kazuya Terabe, and Masakazu Aono; Science Advances 7 September 2018: DOI:10.1126/sciadv.aau2057)

Abstract

  1. A NIMS research group has invented an ionic device, termed as ionic decision-maker, capable of quickly making its own decisions based on previous experience using changes in ionic/molecular concentrations. The group then succeeded in demonstrating its operation. This device is capable of making decisions while efficiently adapting to changing situations by a means unrelated to the storage of past experiences in computer memory or to the performance of decision-making computations. This invention may lead to the development of novel artificial intelligence (AI) systems able to process analog information using hardware in a completely different manner from conventional AI systems that process digital information using software.
  2. AI systems capable of quickly making optimum selections in response to changing circumstances in various fields—such as information and communications, manufacturing, economic activities and entertainment—are urgently needed. Efforts in recent years have focused on the development of computer-based AI systems capable of processing large amounts of information using sophisticated programs. However, these systems have some issues: when they are used to solve complex problems using vast amounts of data, their operations slow down and consume large amounts of electricity.
  3. This research group developed a decision-making ionic device capable of operating using electrochemical phenomena induced by the movement of protons (H+) within a solid electrolyte. When the device makes a correct decision, ions migrate toward the electrode associated with the decision. Repeated correct decisions cause a variation in ionic/molecular concentrations and reinforce the decision. The research group applied this mechanism to a congested radio communication network and succeeded in demonstrating that the device is capable of selecting an optimum communication channel (i.e., frequency range) to be assigned for a given transmission in order to achieve the most effective overall channel utilization in relation to changing congestion situations. The device also demonstrated the capability to make optimum channel selections to meet an even more complex goal, i.e., achieving the most effective overall channel utilization among multiple communication network users.
  4. In future studies, we hope to develop this technology into higher-performance, higher-integration devices and apply them to complex problem-solving not only in communication networks but also in manufacturing and financial trading, etc. For example, the device may be used to make the most profitable selections among multiple options with dynamic reward probabilities. In addition, we plan to apply this technology to the development of AI systems (artificial brains) that operate under a new working principle: non-programed decision-making systems that think like biological systems.
  5. This project was carried out by a NIMS MANA research group consisting of Takashi Tsuchiya (Senior Researcher, Nanoionic Devices Group), Tohru Tsuruoka (Principal Researcher, Nanoionic Devices Group), Song-Ju Kim (Special Researcher, Nanoionic Devices Group; currently a Project Associate Professor at Keio University), Kazuya Terabe (Leader of the Nanoionic Devices Group) and Masakazu Aono (MANA Executive Advisor).
  6. This study was published in the online version of Science Advances, a US scientific journal, at 2:00 pm on September 7, 2018, local time (3:00 am on September 8, Japan Time).

"Figure 1. Schematic diagram of an ionic device  capable of learning and decision-making using electrochemical phenomena induced by the movement of hydrogen ions.Figure 2. The ionic device  learns the current usage of communication channels A and B and quickly determines which should be assigned for a given transmission in order to achieve the most effective utilization of these channels. The diagram indicates optimum selections between channel A and B in relation to time." Image

Figure 1. Schematic diagram of an ionic device capable of learning and decision-making using electrochemical phenomena induced by the movement of hydrogen ions.

Figure 2. The ionic device learns the current usage of communication channels A and B and quickly determines which should be assigned for a given transmission in order to achieve the most effective utilization of these channels. The diagram indicates optimum selections between channel A and B in relation to time.




Contacts

(Regarding this research)
Takashi Tsuchiya
Senior Researcher,
Nanoionic Devices Group,
International Center for Materials Nanoarchitectonics(MANA),
National Institute for Materials Science
TEL: +81-29-860-4563
E-Mail: TSUCHIYA.Takashi=nims.go.jp
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Kazuya Terabe
Group Leader,
Nanoionic Devices Group,
International Center for Materials Nanoarchitectonics(MANA),
National Institute for Materials Science
TEL: +81-29-860-4383
E-Mail: TERABE.Kazuya=nims.go.jp
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(For general inquiries)
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National Institute for Materials Sciences
Tel: +81-29-859-2026
Fax: +81-29-859-2017
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