World’s first automatic and adaptive, dual-mode light-emitting diode (LED)-based optical wireless power transmission system, that operates seamlessly under both dark and bright lighting conditions, has been developed by scientists at Science Tokyo. The system, along with artificial intelligence-powered image recognition, can efficiently power multiple devices in order without interruption. Because it is LED-based, it offers a low-cost and safe solution ideal for building sustainable indoor Internet of Things infrastructure.

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise simplicity in algebraic data, the team discovered and proved a new theorem on the necessary properties of generators of finite simple groups. This work demonstrates how artificial intelligence can assist in formulating and even proving conjectures in pure mathematics. The 2-generator representation furthers earlier work of one of the authors with M. Kim using Cayley Tables, showing that simplicity has interesting data structure.

The sorghum salt tolerant gene SbTEF1 was identified by genome-wide association study (GWAS) and the PAV284 which located in the promoter region of SbTEF1 was the key regulatory locus governing the salt tolerant ability.

Researchers in Tokyo Metropolitan University developed the efficient method for perfect and selective conversion of polyesters (textiles, cloth wastes, and PET bottle wastes etc.) to raw materials by simply heating a mixture of polyester and alcohol in the presence of iron catalyst. The findings will pave the way for solving the plastic waste problem.