Inspired by the sophisticated visual systems found in nature, bioinspired adaptive optical imaging technology is undergoing a profound transformation from static imitation to dynamic intelligence. A review article published online on March 30, 2026, in Volume 2 of Opto-Electronics Plus, titled "Bioinspired adaptive optical imaging technology," systematically outlines the landscape of this field. The review focuses on two core research directions and anticipates future trends. The study is led by Dr. Wang Qionghua, Professor and Doctoral Supervisor at Beihang University, China.

Artificial intelligence is increasingly developing problem-solving strategies that differ from typical human search patterns and ways of thinking. An international study led by the Max Planck Institute for Human Development has shown, for the first time, the conditions under which such strategies discovered by machines can be adopted by humans and become part of their lasting knowledge and cultural evolution.

In its August 2026 issue, Petroleum Science publishes a landmark editorial that identifies 100 fundamental scientific challenges facing petroleum science—a discipline at a historic inflection point. Compiled through a rigorous five-year process involving hundreds of experts worldwide, the list spans six domains and three archetypes of scientific problems. The editorial reveals that artificial intelligence has evolved from an enabler into a core driver, and together with the low-carbon transition, is fundamentally redefining the paradigm of petroleum science. This roadmap is intended to guide research planning, investment, and talent development for decades to come.