科学 ニュース

A team of Chinese scientists has established a novel brain-inspired network model based on internal complexity to address challenges faced by traditional models, such as high consumption of computing resources, according to the Institute of Automation under the Chinese Academy of Sciences.

In a paper published in Nature Chemistry, researchers from the University of Cambridge, Imperial College London and Queen Mary University of London have shown for the first time how different arrangements of molecules in organic solar cells can improve light absorption, leading the way to better and cheaper solar panels.

We are excited to present an advancement in the management of lithium-ion battery performance, a critical component in the transition towards sustainable energy. Our team from the School of Engineering, Technology, and Design at Canterbury Christ Church University, U.K., has focused on utilizing machine/deep learning to enhance the State of Charge (SOC) estimation for lithium-ion batteries, particularly those being repurposed for second-life applications.

Australia on Wednesday approved plans for a massive solar hub intended to power millions of homes domestically and supply electricity to Singapore.

Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when running on existing processing units, they can consume a lot of energy.

The blades of propellers and wind turbines are designed based on aerodynamics principles that were first described mathematically more than a century ago. But engineers have long realized that these formulas don't work in every situation. To compensate, they have added ad hoc "correction factors" based on empirical observations.

Australia on Wednesday approved plans for a massive solar and battery farm that would export energy to Singapore, a project it calls the "largest solar precinct in the world".

ChatGPT and other large language models (LLMs) cannot learn independently or acquire new skills, meaning they pose no existential threat to humanity, according to new research from the University of Bath and the Technical University of Darmstadt in Germany.

A Purdue University research team has demonstrated how to optimize yield in corn fields equipped with solar power arrays that throughout the day cast dynamic shadows across growing crops.

In the digital landscape, trivial rumors can spark significant online reactions. Accurate prediction of public opinion is important for crisis management, misinformation mitigation, and fostering public trust. However, existing methods often fail to thoroughly investigate multiple informational factors and their timely interactions, thereby limiting their efficacy in analyzing public opinion.

When we flip the light switch in our homes, we have come to expect instant access to electricity. Behind the scenes, that reliability depends on utility operators who have developed control systems and fail-safes to keep the power flowing.

Artificial intelligence can completely transform current driver training. This is also the aim of a collaboration between NTNU, the IT company Virtur, and WAY AS in Trondheim, which is Norway's only simulator-based driving school.

In an effort to reduce the environmental impact of carbon dioxide emissions, a University of Central Florida researcher has developed a new technology that captures carbon dioxide and outputs useful fuels and chemicals.

Imagine if Australian cities became major producers of clean energy, rather than relying on far-flung solar and wind farms.

The National Institute for Materials Science (NIMS) and SoftBank Corp. have jointly developed a model capable of predicting the cycle lives of high-energy-density lithium-metal batteries by applying machine learning methods to battery performance data. The work is published in the journal Advanced Science.

Porous media play a critical role in various industrial fields due to their complex pore networks and considerable specific surface areas. The transport and reaction phenomena within porous media are key factors influencing fundamental parameters such as energy storage efficiency, catalytic performance, and adsorption rates.

Over the past few decades, electronics engineers have developed increasingly flexible, versatile and highly performing devices for a wide range of real-world applications. Some of their efforts have been aimed at creating smart and sensing textiles, which could be used to fabricate stretchy robotic systems, medical devices and wearable technologies.

Back-to-back atmospheric rivers have triggered floods, snowstorms, and power outages in the Golden State.

The increase in high-rise and densely populated urban development has heightened the demand for safety and resilience solutions against emergencies, such as fires. The Hong Kong Polytechnic University (PolyU) has created advanced technological solutions to enhance firefighting and urban resilience.

Currently, industrial processes in the U.S. account for approximately a third of the country's carbon dioxide emissions—even more than the annual emissions from passenger vehicles, trucks, and airplanes combined. Decarbonizing this sector is a challenging but vital step in mitigating impacts on our future climate.