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News List (2022)
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An interview with Makiko Sasada, Visiting Scientist of the Mathematical Science Team (PI: Kenichi Bannai) was published in the MEXT* website.
*White Paper on Science, Technology, and Innovation 2022, Ministry of Ed...
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A research project, titled “Stroke prevention by early detection of AF in Shimizu" was published as a press release on June 6, 2022.
The research team includes Ken Asada, Research Scientist of the Cancer Translati...
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RIKEN AIP and NEC have developed an AI technology which is a result of a collaborative research project. This technology was based on a paper titled "Lower-Bounded Proper Losses for Weakly Supervised Classification".
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A new book "Approximate Bayesian Inference" was published on May 25, 2022 by MDPI. Pierre Alquier, Research scientist of the Approximate Bayesian Inference Team was the Special Issue Editor of the book.
This book i...
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Update: June 9, 2022
An interview with Masato Sumita, Research scientist of the Molecular Informatics Team was featured in RIKEN Close-up Science Road on May 23, 2022.
Please access the article “Close-up Science R...
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11 papers have been accepted at the International Conference on Machine Learning (ICML) 2022, a major conference on Artificial Intelligence (July 17-23, 2022, Baltimore Convention Center, Baltimore MD). For more detai...
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A research paper, entitled “Multi-omics approach reveals post-transcriptionally regulated genes are essential for human pluripotent stem cells” was published in iScience* on April 23, 2022.
The research team includ...
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An article titled "Data-Driven Ground Motion Prediction Models ―Toward Non-Ergodic Models―" authored by Tomohisa Okazaki, Research Scientist of the Disaster Resilience Science Team was published in the Chikyu Monthly ...
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A research paper, entitled “Exponential clustering of bipartite quantum entanglement at arbitrary temperatures” will be published in Physical Review X (PRX)* on April 27, 2022.
*PRX publishes a select set of papers...
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A research paper, entitled “A Multivariate Causal Discovery based on Post-Nonlinear Model"* was presented at the 1st Conference on Causal Learning and Reasoning (CLeaR 2022).
The research team includes Shohei Shimi...