Category Physics

In recent years, physicists and material scientists have identified various new materials marked by interesting properties and quantum effects. These materials could prove highly valuable both as platforms to study quantum effects and for the development of new quantum computing devices.

One class of materials that has attracted particular attention is quantum anomalous Hall insulators...

Researchers have developed a high-performance energy management unit (EMU) that significantly boosts the efficiency of electrostatic generators for Internet of Things (IoT) applications. This breakthrough addresses the challenge of high impedance mismatch between electrostatic generators and electronic devices, unlocking new possibilities for ambient energy harvesting.

Electrostatic generators have emerged as a promising solution for powering low-power devices in Internet of Things (IoT) networks, utilizing energy from environmental sources such as wind and human motion. Despite their potential, the effectiveness of these generators has been hampered by an impedance mismatch when connected to electronic devices, leading to low energy utilization efficiency.

A study published in ...

Professor Jeongho Kwak’s from the Department of Electrical Engineering and Computer Science at DGIST has developed a learning model and resource optimization technology that combines accuracy and efficiency for 6G vision services. This technology is expected to be utilized to address the high levels of computing power and complex learning models required by 6G vision services.

6G mobile vision services are associated with innovative technologies such as augmented reality (AR) and autonomous driving, which are receiving significant attention in modern society. These services enable quick capturing of videos and images, and efficient understanding of their content through deep learning-based models.

However, this requires high-performance processors (GPUs) and accurate learning mo...

Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.

As researchers explore potential applications for AI, they have found scenarios where AI could be really useful—such as analyzing X-ray image data to look for evidence of rare conditions or detecting a rare fish species caught on a commercial fishing boat—but there’s not enough data to accurately train the algorithms.

Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues. For example, Hwang and his team developed a method that teaches AI to monitor how many distinct poses a baby can achieve throughout the day...