So far, quantum computers have been held back by their extreme sensitivity to errors and external disturbances. The longer a quantum operation takes, the greater the risk that computational errors will occur. Now, researchers at Chalmers University of Technology, in Sweden, have developed a new method that allows a wide range of advanced quantum operations to be carried out more than a thousand times faster. The breakthrough addresses a well-known bottleneck in the field and paves the way for fault-tolerant quantum computing.

A global forum was held to discuss the future of “Physical AI,” a technology that enables artificial intelligence to perceive, understand, and act in the real world through the physical embodiment of robots and machines. Experts from industry, academia, and research institutions in Korea and abroad gathered to share the latest technological developments in humanoid robotics and Physical AI and explore future directions for the industrial ecosystem. 

The Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu) hosted the 2026 Global Forum on Mechanical Engineering beginning at 1:30 p.m. on September 7 (Monday) at the Science and Technology Convention Center in Seoul under the theme “Robotics Shaping Tomorrow's Industrial Ecosystem with Physical AI.”

 - KAIST and Microsoft Research Asia (MSRA) develop 'Neural Value Alignment (NVA),' a technology that uses brainwaves to detect cognitive mismatches between humans and AI

- AI distinguishes whether it misunderstood the goal itself or simply chose the wrong method, and corrects its own behavior accordingly, marking a shift from AI that follows commands to AI that can sense human intent

- Expected to serve as a next-generation human-AI collaboration technology for physical AI, BCI, autonomous driving, medical robotics, and personalized education

Artificial intelligence (AI) is increasingly integrated in public health for disease surveillance, behavioral interventions, risk communication, and population health management. However, fragmented oversight and limited equity safeguards can allow AI systems to reinforce existing disparities and create new risks for marginalized populations. A recent analytical essay examines these challenges and outlines strategies for responsible AI use, including equity assessments, community-based validation, transparency, data sovereignty, and human oversight. 

Chiba University and a Finnish wireless power company will study how wireless power behaves inside an enclosed space as devices enter, leave, and change operating conditions.