With the speed at which technology advances, there is little room for suboptimal performance and out-of-date tech. Precise positioning is a field where advancement is needed, as many conventional applications feature tools that are much […]
The construction industry is one of the most polluting due to its high contribution to CO2 emissions. In addition to its significant environmental cost, its materials are made from nonrenewable resources such as sand and […]
What if a construction project could rewrite its own schedule the moment a problem appears? A new peer-reviewed study from the University of East London (UEL) suggests that artificial intelligence could make this possible—detecting emerging […]
Robot vision could soon get a boost thanks to the development of a bioinspired eye that can automatically adjust its pupil size in response to changing light levels. Robots, self-driving cars and drones often struggle […]
Fuel cells are electrochemical devices that directly convert chemical energy from a fuel into electrical energy. Unlike batteries, which only store electricity, fuel cells can continuously generate electricity as long as both fuel and air […]
The first survey of Canadian consumers regarding their purchase and disposal of electronics reveals that 64% of people replace their items for reasons other than the device breaking down or being obsolete. This behavior points […]
Most materials we use in everyday life expand slightly when heated and return to their original size when cooled. In addition to such thermal properties, materials can also have electrical properties or magnetic properties, and […]
Green hydrogen—the cornerstone of net zero strategies around the world—could fail in becoming a truly sustainable fuel unless countries rapidly decarbonize their energy grids, according to research led by the University of Sheffield. In a […]
A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of identifying cyberattacks. The proposed model combines a […]
A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into the neural basis of how the brain learns and produces language, […]
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