Fujitsu Forum 2018 was held from May 17-18, 2018 at the Tokyo International Forum in Japan. This year's theme was "Human Centric Innovation: Co-creation for Success." At the forum, Fujitsu introduced outcomes and success factors achieved through co-creation with customers and strategic partners by hosting a variety of seminars and exhibition demonstrations to showcase cutting-edge technologies. For this event, the exhibition was divided into the "Success Zone" and the "Technology Zone." This part of the report describes the highlights of the exhibitions in the Technology Zone with a focus on advanced technologies that accelerate digital transformation.
The Post-K Computer, AI, and Digital Annealer to Accelerate Digital Transformation
Supercomputing Technology Accelerates AI
The first thing that caught our eye at the site was the post-k computer prototype. Fujitsu and RIKEN have been jointly developing one of the world's leading supercomputers, which can run a wide range of application software at high sustained performance. The booth presented the rack and calculation module of the post-K computer for the first time.
Explainable AI that Can be Used for Judgment with Responsibility
This technology explains the reasons and evidence for AI's inference results concerning a given problem. It outputs the reasons for its judgment by associating AI inference results (obtained by Fujitsu's unique "Deep Tensor" technology) with vast knowledge (stored in academic papers, etc.) represented as a "knowledge graph." Fujitsu has been studying how to apply this technology to the healthcare, financing, and corporate sectors in the future. The exhibition presented a case study on reducing patient burden during radiotherapy.
New Architecture without Waiting for Quantum Computing Readiness
Another instance of Fujitsu AI on display was the quantum computing-inspired Digital Annealer, which Fujitsu released as a cloud service on May 15. Later, Fujitsu will launch on-premise products with extended functionality. Specific case studies presented at the site included applications to cancer radiotherapy, optimized arrangement of parts in factory warehouses and in logistics, and traffic volume optimization in urban areas.
Verification of optimization patterns in cancer radiotherapy was given as an example application in medical care. Since radiation exposure adversely affects normal cells, irradiation is performed multiple times from different angles and at different exposure times. Previously, due to the very large number of combination factors, it took several days for the medical team to study and determine an apparently optimal irradiation pattern. Use of Digital Annealer enables an optimal solution to be obtained in about a day, allowing support for more cancer patients without increasing the number of medical team members or irradiation facilities.
A Fujitsu factory case study was introduced as an application example in factories. When delivery slips are passed to Digital Annealer, it sorts them in the order of the best picking route. Digital Annealer can also propose optimal parts arrangements in warehouses; in the demonstration experiment, workers' travel distances were reduced by 45%. In addition to these examples, a case study of applying Digital Annealer to optimize traffic announcements was introduced.
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