Figure 1: A computed molecular structure showing an intermediate structure formed during the uphill formation of a bond between two neighboring tetrasubstituted carbon atoms (purple dotted line: a ...

A never-before-seen folding structure may have enabled early molecular evolution and the diversification of proteins Figure 1: A computer illustration showing the structure of a molecule of RNA ...

Researchers at the RIKEN Cluster for Pioneering Research (CPR) have developed technology that can alter, within the body, the recognized identity of proteins. The innovation, published in Nature ...

Interview with President Makoto Gonokami: Creating a Scientific Research Structure to Break New Ground through Collaboration RIKEN is home to outstanding researchers in a broad range of fields of ...

Researchers led by Ryuhei Nakamura at the RIKEN Center for Sustainable Resource Science (CSRS) in Japan and The Earth-Life Science Institute (ELSI) of Tokyo Institute of Technology have discovered ...

The Research Instruments Group is responsible for the operation, maintenance, management, and enhancement of the core research equipment and related infrastructure at the Radioactive Isotope (RI) Beam ...

RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for ...

Interview with President Makoto Gonokami: Creating a Scientific Research Structure to Break New Ground through Collaboration RIKEN is home to outstanding researchers in a broad range of fields of ...

ヒントン博士は多層神経回路網の確率降下学習法に始まり、ボルツマン機械、情報の統合、その他多くの画期的な仕事を成し遂げたのみならず、神経回路網を深層にすることで高度の情報識別が行えることを予見し、これに数々の工夫を加えることで画期的な成果を挙げた。人工知能の新しい道を切り開いたのである。

このたび、ジョン・ホップフィールド博士とジェフリー・ヒントン博士のノーベル物理学賞受賞を心よりお祝い申し上げます。 理化学研究所のセンター長等のコメントをここに掲載いたします。 今回のジョン・ホップフィールド教授及びジェフリー・ヒントン教授のノーベル物理学賞受賞は、機械学習がサイエンス研究の一分野として認知された歴史的な出来事です。