A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence (AI) device that exploits ion behavior to perform information processing. The team succeeded in reducing the computational load to about 1/100 of that required for conventional deep learning. The technology is expected to contribute to enhancing the information processing performance of "edge AI" operating directly on terminal equipment (an edge device). This research was published in ACS Nano on October 14, 2025.

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

The results have been published in the prestigious journal Nature Nanotechnology and analyze the behavior of polaritons, hybrid light–matter quasiparticles. The research is part of the TWISTOPTICS project, led by Pablo Alonso González, a professor at the University of Oviedo, and funded by an ERC Consolidator Grant from the European Research Council

Recently, the research team led by Prof. PAN Xu from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have developed an optimized transport layer for inverted perovskite solar cells, achieving a breakthrough that enhances both device efficiency and stability.

Organometallic perovskite single crystals have been considered one of the most promising candidates for photodetection applications, owing to their grain-boundary-free structure and improved optoelectronic properties. However, several challenges still remain for the application of perovskite single crystals in photodetectors, in particular the thickness and area controls and poor compatibility with substrates.