科學 訊息

The ability to detect objects in settings with unfavorable lighting, for example at night, in shadowed locations or in foggy conditions, could greatly improve the reliability of autonomous vehicles and mobile robotic systems. Most widely employed computer vision methods, however, have been found to perform under poor lighting.

After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words and generate written texts pertinent to a user's queries, the answers given by these models are not always accurate and reliable.

The long-legged buzzard with spectacular chestnut brown plumage, is one of the most impressive raptors in Israel.

How the largest wildfires of the year — including the Park Fire​ — get their names comes down to simple geography. But not all incidents are easy to map.

A Purdue University invention that may shorten construction timelines and increase long-term durability of concrete highways, bridges and other transportation infrastructure is emerging as a viable alternative to methods that have been used for decades to estimate when newly poured concrete is mature enough to withstand heavy loads such as those from trucks and other vehicles.

Robotic vehicles can optimize the flow of traffic in cities even when mixed in with vehicles driven by humans, thereby improving traffic efficiency, safety and energy consumption, my colleagues and I found.

Photovoltaic (PV) technologies, which convert light into electricity, are increasingly applied worldwide to generate renewable energy. Researchers at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have developed a molecular treatment that significantly enhances the efficiency and durability of perovskite solar cells. Their breakthrough will potentially accelerate the large-scale production of this clean energy.

A new report by NPL outlines the crucial needs and challenges that need addressing to boost the hydrogen economy and support the UK in reaching its net zero goals.

A team of engineers and pest control specialists in China has developed a machine that is capable of gender-sorting 16 million mosquito pupae a week. In their paper published in the journal Science Robotics, the group describes how they designed and built their sorter and how well it has worked during testing.

New research shows a new digital method could be the key to understanding how structures, such as buildings, behave when they are damaged.

At the top of many automation wish lists is a particularly time-consuming task: chores.

An analysis of how rhinoceros beetles deploy and retract their hindwings shows that the process is passive, requiring no muscular activity. The findings, reported in Nature, could help improve the design of flying micromachines.

Nature has provided inspiration for many innovations. In recent years, the development of algorithms that emulate the problem-solving ability of the natural world have come to the fore. Such algorithms, computer programs that are modeled on various natural behaviors, are known collectively as nature-inspired algorithms.

A research team has demonstrated that analog hardware using ECRAM devices can maximize the computational performance of artificial intelligence, showcasing its potential for commercialization. Their research has been published in Science Advances.

Dutch scientists have unveiled the country's first laboratory to research how autonomous miniature drones can mimic insects to accomplish tasks ranging from finding gas leaks in factories to search-and-rescue missions.

From classic slashers like Freddy Krueger to modern terrors like Freddy Fazbear, there's no shortage of genre ideas for dress-up.

Adopting the right mix of sustainable construction practices could allow Canada to meet its housing goals—as many as 5.8 million new homes by 2030—without blowing past its climate commitments.

A team of AI researchers at the Chinese technology company Baidu Inc. is proposing a new reasoning framework designed to improve the reliability and traceability of LLMs. The group has published a paper describing their ideas on the arXiv preprint server.

Significant strides in addressing the issue of AI "hallucinations" and improving the reliability of anomaly detection algorithms in critical national infrastructures (CNIs) have been made by scientists based in Bristol's School of Computer Science.

Clouds play a pivotal role in the Earth's climate and weather. They form in a diversity of distinct patterns and types that can have profoundly different impacts on things such as the water cycle and how radiant energy moves through the atmosphere. Earth-observing satellites have been capturing images for decades and these datasets offer a unique opportunity to study clouds and their impact on the Earth system.