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Explainable AI supports improved nickel catalyst design for converting carbon dioxide into methane
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...
Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...
The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...
New algorithm boosts multitasking in quantum machine learning Date: December 10, 2024 Source: Tohoku University Summary: When a quantum computer processes data, it must translate it into ...
Sophisticated algorithms whose inner workings can be opaque make these predictions, so the lack of an uncertainty measure becomes an even greater problem when machine learning is involved.
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
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