Technology News

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical challenge. Shi-Ju Ran of Capital Normal University and Gang Su of the University of the Chinese Academy of Sciences have reviewed an innovative approach based on tensor networks, drawing inspiration from quantum mechanics. This approach offers a promising solution to the long-standing challenge of reconciling interpretability and efficiency in deep machine learning.

Image recognition technology has come a long way since 2012 when a group of computer scientists at the University of Toronto created a convolutional neural network (CNN)—dubbed "AlexNet" after its creator Alex Krizhevsky—that correctly identified images much better than others. Its findings have propelled successful use of CNNs in related fields such as video analysis and pattern recognition, and now researchers are now focusing on 3D deep learning networks.

As the high-speed railway network in China extends beyond 40,000 kilometers, maintaining seamless internet connectivity for passengers is becoming increasingly challenging. The demand for consistent and reliable online access is particularly crucial for travelers who spend extended hours on trains, relying on the expectation of undisturbed work, study, or entertainment. Addressing this need, a team of researchers from the School of Computer Science at Peking University has developed "HiMoDiag"—an innovative tool designed to enhance the understanding and management of network performance in extremely high-mobility scenarios.

Legged robots that artificially replicate the body structure and movements of animals could efficiently complete missions in a wide range of environments, including various outdoor natural settings. To do so, however, these robots should be able to walk on different terrains, such as soil, sand, grass, and so on, without losing balance, getting stuck or falling over.

Bitcoin mining is often perceived as environmentally damaging because it uses huge amounts of electricity to power its intensive computing needs, but a new study demonstrates how wind and solar projects can profit from bitcoin mining during the pre-commercial development phase—when a wind or solar farm is generating electricity, but has not yet been integrated into the grid.

In a study published in Scientific Reports, a research team from the University of Passau compared the quality of machine-generated content with essays written by secondary school students. The upshot: The AI-based chatbot performed better across all criteria, especially when it came to language mastery.

In the real world/digital world cross-over of mixed reality, a user's immersive engagement with the program is called presence. Now, UMass Amherst researchers are the first to identify reaction time as a potential presence measurement tool. Their findings, published in IEEE Transactions on Visualization and Computer Graphics, have implications for calibrating mixed reality to the user in real time.

A new report by Curtin University and The University of Queensland has provided insights into the trade-offs between overhead and underground transmission lines and the challenges of expanding Australia's grid for renewable energy initiatives.

Physicists at Martin Luther University Halle-Wittenberg (MLU) and Central South University in China have demonstrated that, by combining specific materials, heat in technical devices can be used in computing. Their discovery is based on extensive calculations and simulations. The new approach demonstrates how heat signals can be steered and amplified for use in energy-efficient data processing. The team's research findings have been published in the journal Advanced Electronic Materials.

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Smartphones are a staple of modern life and are changing how we see the world and show it to others. Almost 90% of Aussies own one, and we spend an average of 5.6 hours using them each day. Smartphones are also responsible for more than 90% of all the photographs made this year.

Consumers are scouring the internet for online deals as they begin to cap off the five-day post-Thanksgiving shopping bonanza with Cyber Monday.

German car giant Volkswagen on Monday said that it was considering staff reductions, possibly in the form of early retirement, to help it meet vital cost-cutting targets imposed in its sputtering transition to electromobility.

Researchers have developed a self-healing robotic gripper for use in soft robotics that is adaptable, recyclable and resilient to damage, thanks to heat-assisted autonomous healing.

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Carbon capture is essential to reduce the impact of human carbon dioxide emissions on our climate. Researchers at the University of Tokyo and Nagoya University in Japan have developed a method to confirm whether carbon in concrete originates from the raw materials, or from carbon in the air which has been trapped when it reacts with the concrete to form the mineral calcium carbonate. The work has been published in the Journal of Advanced Concrete Technology.

Researchers led by Prof. Ray-Hua Horng, a leading expert in semiconductor device technology at Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan, China have published a research paper titled "Study on the performance of thin-film VCSELs on composite metal substrate" in the journal Frontiers of Optoelectronics. This work introduces innovative methods that are poised to reshape the landscape of semiconductor technology.

Cantilever fans move air through a flapping action, similar to hand-fans. Commercially available, they are combined with a piezoelectric bender, which provides their motive force. These fans are low noise, low power and have a low flow rate. They have a useful niche for increasing the cooling of electronics beyond that of natural convection, without requiring high flow rate.

To teach an AI agent a new task, like how to open a kitchen cabinet, researchers often use reinforcement learning—a trial-and-error process where the agent is rewarded for taking actions that get it closer to the goal.