Researchers from #UTokyo_IIS have found that single cells in collective chemotaxis act like agents in distributed reinforcement learning, utilizing the environment as an “external memory” and exhibiting highly intelligent behavior.

Researchers from #UTokyo_IIS have formulated a mathematical theory for dynamical networks made of biological agents, such as humans

Researchers from #UTokyo_IIS consider waterflows and vegetation mosaic on hillslopes for accurate simulation of land surface water and energy status across Africa

To improve accuracy of projected flood risks under climate change, #UTokyo_IIS researchers propose a new method merging data from multiple climate change scenarios based on specific warming levels.

For the first time, researchers at #UTokyo_IIS, quickly and efficiently measure the seafloor down to the centimeter-level using an unmanned aerial vehicle

Using a global ocean model, researchers from #UTokyo_IIS and the Institute of Environmental Radioactivity, Fukushima University, found that short- and long-term contribution of treated water released from the Fukushima Daiichi Nuclear Power Plant on oceanic tritium concentration beyond the vicinity of the discharge site is negligible, even in climate change scenarios

Researchers from #UTokyo_IIS have developed nanoscale ‘molecular flasks’ based on single molecules of bottlebrush polymers to carefully control polymerization reactions in extremely small spaces

Hitachi, Ltd., and #UTokyo_IIS, toward speeding up Big Data analysis, have developed dynamic pruning technology that significantly improves the retrieval time of data having complex interconnections . The newly developed technology, based on information obtained through recursive query processing, accurately identifies in real-time the scope of the next data to be read and skips the reading of unnecessary data, significantly improving retrieval speed. In the application of verification testing to product shipment decisions in the manufacturing industry, data retrieval speed was confirmed to be up to 135 times faster*4 than with the conventional methodology. This speed gain is expected to contribute toward improving the quality of traceability*5 by enabling faster analysis of graph-structured data, such as in tracing processes or parts from product design to manufacturing, distribution, and maintenance.

Researchers at #UTokyo_IIS produce tiny transistors with high performance and reliability through the use of an innovative material and design

Researchers from #UTokyo_IIS, have discovered the importance of the microscopic structural ordering of water in ice nucleation, in which an ice crystal forms and grows near a solid surface. The nucleation pathway depends strongly on surface hydrophilicity, with intermediate values of hydrophilicity corresponding to the highest nucleation rates. These findings demonstrate how surfaces can be used to control crystallization, which could have profound industrial applications.