Search results for deep learning

Optics & Photonics Sep 20, 2023

Revealing the general characteristics of fiber Rayleigh scattering based on deep learning

Scattering in media has unique inherent randomness. Fiber Rayleigh scattering is one of the typical scattering effects. The exploration and understanding of the characteristics of fiber Rayleigh scattering holds significant ...

Optics & Photonics Sep 15, 2023

Synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern analysis

Optical metrology, as a general-purpose metrology technique that uses light as information carriers for non-contact and non-destructive measurement, is fundamental to manufacturing, basic research, and engineering applications.

Molecular & Computational biology Sep 7, 2023

Artificial intelligence could help build pollen jigsaw of present and ancient flora

An emerging system which combines rapid imaging with artificial intelligence could help scientists build a comprehensive picture of present and historic environmental change—by swiftly and accurately analyzing pollen.

Analytical Chemistry Sep 6, 2023

Fine-structure sensitive deep learning framework for prediction of catalytic properties with high precision

The fine structure of the catalytic surface has a significant impact on structural sensitive reactions, and high-throughput (HT) screening and machine learning (ML) are believed to effectively explore the potential rules ...

Cell & Microbiology Sep 6, 2023

New tech enables scientists to see living cells' organelles in motion at super-high resolution

The research group of Professor Yoav Shechtman from the Israel Institute of Technology Faculty of Biomedical Engineering has developed groundbreaking technology enabling scientists to see dynamic processes in living cells. ...

Analytical Chemistry Sep 4, 2023

Machine learning for chemistry: Basics and applications

In a review published in Engineering, scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry. Titled "Machine Learning for Chemistry: Basics and Applications," this comprehensive ...

Earth Sciences Sep 1, 2023

Seismologists use deep learning to forecast earthquakes

For more than 30 years, the models that researchers and government agencies use to forecast earthquake aftershocks have remained largely unchanged. While these older models work well with limited data, they struggle with ...

Plasma Physics Sep 1, 2023

Machine learning hunts for the right mix of hydrogen isotopes for future nuclear fusion power plants

The process that powers the stars—nuclear fusion—is proposed as a future power source for humanity and could provide clean and renewable energy free of the radioactive waste associated with current nuclear fission plants.

Earth Sciences Aug 30, 2023

Unveiling global warming's impact on daily precipitation with deep learning

A collaborative international research team led by Professor Yoo-Geun Ham from Chonnam National University and Professor Seung-Ki Min from Pohang University of Science and Technology (POSTECH) has made a discovery on the ...

Earth Sciences Aug 30, 2023

Gaining time without sacrificing accuracy when predicting typhoon-induced storm surges

A deep learning method developed by RIKEN researchers can accurately predict the destructive power of typhoon-induced storm surges on coastal regions in a fraction of the time of conventional models. It promises to buy precious ...

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