Spotting cutting-edge topics in scientific research using keyword analysis

Researchers have conducted a quantitative keyword analysis of 30 million articles in the life sciences over a nearly fifty-year period (1970-2017) and found that 75% of total emerging keywords, at 1-year prior to becoming identified as emerging, co-appeared with other emerging keywords in the same article.

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Ceramic industry should use carbon reducing cold sintering process says new research

A new techno-economic analysis shows that the energy intensive ceramic industry would gain both financial and environmental benefits if it moved to free the cold sintering process from languishing in labs to actual use in manufacturing everything from high tech to domestic ceramics.

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Information theory as a forensics tool for investigating climate mysteries

During Earth's last glacial period, temperatures on the planet periodically spiked dramatically and rapidly. A new article suggests that mathematics from information theory could offer a powerful tool for analyzing and understanding these mysterious events.

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Clingfish biology inspires better suction cup

A team of engineers and marine biologists built a better suction cup inspired by the mechanism that allows the clingfish to adhere to both smooth and rough surfaces. Researchers reverse engineered the clingfish's suction disk and developed devices that cling well to wet and dry objects both in an out of water. The devices can hold up to hundreds of times their own weight.

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Machine learning could offer faster, more precise results for cardiac MRI scans

Cardiac MRI scans can be read by AI (artificial intelligence) 186 times faster than humans, with comparable precision to experts. Because the greatest source of measurement errors are human factors, AI has the potential to improve future clinical decision making.

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New method for the measurement of nano-structured light fields

Physicists and chemists have jointly succeeded in developing a so-called nano-tomographic technique which is able to detect the typically invisible properties of nano-structured fields in the focus of a lens. Such a method may help to establish nano-structured light landscapes as a tool for material machining, optical tweezers, or high-resolution imaging.

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Artificial intelligence probes dark matter in the universe

Physicists and computer scientists have developed a new approach to the problem of dark matter and dark energy in the universe. Using machine learning tools, they programmed computers to teach themselves how to extract the relevant information from maps of the universe.

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