Neuromorphic or brain-like computing systems offer several advantages for artificial intelligence applications. Resistive random-access memory (RRAM), a type of emerging semiconductor technology, exhibits potential for neuromorphic computing applications. However, conventional designs suffer from overshoot currents, leading to reliability issues and requiring external current compliance settings. Now, researchers have developed a new memristive device that achieves self-compliance, enabling crossbar array and multilevel operation, paving the way toward high-performance neuromorphic computing.

Ranhao Sun's team at the Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, in the Science Bulletin, 2024, published a research paper entitled "Perceptible landscape patterns reveal invisible socioeconomic profiles of cities". This study establishes four urban landscapes indicators in three dimensions based on street view big data and deep learning algorithms. It has shown significant potential and application in modelling and forecasting urban socioeconomic development, including land, population, economy and society.