A new study in Engineering presents an adaptive quantum computing-based model predictive control strategy for building energy management. It aims to boost energy efficiency and decarbonize buildings, and experiments show promising results in reducing energy consumption and carbon emissions.

Guangzhou, China — A pioneering study published in Science Bulletin introduces an innovative data management framework that integrates AI and blockchain technology to address critical challenges in multicenter randomized controlled trials (RCTs). An international collaboration led by Professor Haotian Lin from Zhongshan Ophthalmic Center, Sun Yat-sen University and Professor Tien Yin Wong from Tsinghua University, alongside researchers from other leading institutions, has developed a framework, which aims to improve data integrity, objectivity, and operational efficiency in clinical trials.

In one out of five DAOs, a single contributor held enough tokens to make decisions alone, according to a study from the Complexity Science Hub (CSH)—raising questions about how democratic these systems truly are.