[Held on March 3th!The 16th Economic Security Study Group] Japan's cutting-edge technology exposed to threats (Part XNUMX) -What are the defense measures learned from past outflow cases?
At the Economic Security Study Group in March, we will continue to invite Professor Katsuya Tamai, a professor at the Research Center for Advanced Science and Technology, the University of Tokyo (Professor at Shinshu University), to discuss the issue of leakage of business secrets held by companies and universities.Professor Tamai has been involved in legislative policy and industry-academia collaboration research for many years as an expert in intellectual property law, and in recent years has been working on economic security policy from the perspective of legal development and risk countermeasures related to advanced technology management. At the study session in February, in addition to the leakage of advanced technology and information, the current situation that even advanced human resources with the highest technology are at risk of leakage was explained with actual examples from Japan and the world. ..This time, we will dig deeper into this issue and discuss the measures required at the national level, which the Kishida administration is currently aiming to enact in the current Diet, at the next stage of the economic security promotion bill, and the measures required of companies. Please explain.
◆ Theme: Japan's cutting-edge technology exposed to threats (Part XNUMX) -What are the defense measures learned from past outflow cases?
◆ Date: September 2022, 3 (Wednesday) 16: 15-00: 16
◆ Webinar type: Zoom Webinar
◆ Participation conditions: For companies
Participants from the same industry, individuals, and free e-mail addresses are not allowed to participate.
Professor, Research Center for Advanced Science and Technology, University of Tokyo
Katsuya Tamai
Mari Yamamoto
Joined FRONTEO Inc. in December 2018 and became a director in 12, managing and directing the entire AI solution business.
In the life science AI business, we will promote development in the digital health field such as diagnostic support and disease prediction using the artificial intelligence engine "Concept Encoder", and also in the drug discovery field, a drug discovery support AI system that supports speeding up the discovery of candidate compounds. To challenge new areas in life science.
In the business intelligence business, he uses the artificial intelligence engine "KIBIT" to direct the DX promotion of companies.We will also develop solutions that utilize AI in the field of economic security to support governments, government agencies, and companies.
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