마쓰오카 사토시

Recent publications · Crossref

5 total works indexed

1. Pathogen Recognition and Innate Immunity

   · 2006 · cited 9,746x

2. Understanding TiO₂Photocatalysis: Mechanisms and Materials

   · 2014 · cited 5,710x

3. The International HapMap Project

   · 2003 · cited 4,910x

4. Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells

   · 2013 · cited 4,818x

5. Gefitinib or Chemotherapy for Non–Small-Cell Lung Cancer with Mutated EGFR

   · 2010 · cited 4,549x

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Quotes

• “TPC Trillium Parameter Consortium is a worldwide effort to try to get the organizations that are interested in pursuing science in this way, using the latest and greatest AI technologies, to basically pursue AI for science. And the organization basically includes many research institutions, supercomputing centers, etc. that are basically pursuing this path. And from Japan, we have RCS.”
• “We are one of the founding organizations, but we also have several other institutions, such as the University of Tokyo, AIC, and so forth, that have become members because they also have a common goal of pursuing and advancing science through the use of advanced AI.”
• “I know that by us federating together, the whole is greater than the sum. So that allows us to get together and organize, share the resources, be it human resources, machine resources, knowledge, techniques, etc., hold meetings, conferences, and share our expertise that allows, and will allow us to move this AI science agenda much faster than each of us pursuing this agenda alone.”
• “Modern science has really progressed because of openness. So all the open source movements and even AI. Of course, there’s a battle between closed models, but there are open models that have achieved capabilities that would match those of closed models nowadays.”
• “there are infrastructures surrounding these models, being able to pursue the launch tools interface to the foundation models, and so forth. But these tools are also becoming not just the properties of closed source enterprises, but rather the open source versions available.”
• “Since in science and its endeavors, we published open results. So it’s quite natural that all these efforts, the infrastructure, all the infrastructure, as well as the publication results as a result of applying AI to the sciences, will become open.”

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Wikidata facts

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