Researchers at Kumamoto University have made a significant breakthrough in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.

Quantum computers are able to solve complex calculations that would take traditional computers thousands of years in just a few minutes. What if that analytical power is turned inwards towards the computer itself?

POSTECH Develops Bio-conjugation Technology for Selective Protein Modification in Live Biological Systems.

Research team developed CLAP, an RL agent for automated penetration testing. It features a coverage mechanism and Chebyshev decomposition critic, reducing attack operations by 35% and enabling efficient testing on networks with up to 500 hosts.

Tropical marine low clouds play a crucial role in regulating Earth’s climate. However, whether they mitigate or exacerbate global warming has long remained a mystery. Now, researchers from the School of Engineering at the Hong Kong University of Science and Technology (HKUST) have developed a groundbreaking method that significantly improves accuracy in climate predictions. This led to a major discovery – that tropical cloud feedback may have amplified the greenhouse effect by a staggering 71% more than previously known to scientists.

Diabetic wounds often lead to severe complications that can result in amputations. These chronic and non-healing wounds are marked by persistent inflammation, affecting more than six per cent of the global population. In Singapore, there are about four lower limb amputations daily due to non-healing diabetic wounds. A study focusing on diabetic wounds in Singapore estimated that the gross amputation-related healthcare cost per patient was S$23,000 in 2017.

Dr. Suin Yi, assistant professor of electrical and computer engineering at Texas A&M’s College of Engineering, is on a team of researchers that developed “Super-Turing AI,” which operates more like the human brain. This new AI integrates certain processes instead of separating them and then migrating huge amounts of data like current systems do.