Machine learning techniques improve X-ray materials analysis

Researchers of RIKEN at Japan's synchrotron radiation facility, SPring-8 and their collaborators have developed a faster and simpler way to carry out segmentation analysis, a vital process in materials science. The new method ...

Paving a way to green hydrogen production

A sustainable route to green hydrogen production is becoming possible through the use of efficient electrocatalysts in research by Texas A&M University chemical engineering professor Dr. Abdoulaye Djire.

AI analyzes bird sightings to help conserve species

For the first time, big data and artificial intelligence are being used to model hidden patterns in nature—not just for one bird species, but for entire ecological communities across continents.

Study employs deep learning to explain extreme events

Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.

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