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.

In a paper published in aBIOTECH, the authors developed APTES—a deep learning system for automated segmentation of individual Arabidopsis leaves and siliques, coupled with the calculation of 128 phenotypic traits. The extracted traits are readily applicable to genome-wide association studies (GWAS) and other genetic analyses. Using this tool, the authors identified 1,042 trait-associated SNPs in their GWAS.