Category Technology/Electronics

Over the past few years, hardware manufacturers have developed technologies that ought to make it possible for companies and governmental organizations to process sensitive data securely using shared cloud computing resources. Known as confidential computing, this approach protects sensitive data while it is being processed by isolating it in an area that is impenetrable to other users and even to the cloud provider. But computer scientists at ETH Zurich have now proven that it is possible for hackers to gain access to these systems and to the data stored in them.

The researchers ran two attack scenarios, both using what’s known as the interrupt mechanism, which temporarily disrupts regular processing—for instance to prioritize a different computing task...

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...