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 ...
Earth Sciences
Sep 1, 2023
0
52
In the ever-evolving realm of microscopy, recent years have witnessed remarkable strides in both hardware and algorithms, propelling our ability to explore the infinitesimal wonders of life. However, the journey towards three-dimensional ...
Optics & Photonics
Feb 14, 2024
0
71
NUS data scientists have developed a deep learning-based text data analytics method to extract sentiment information from analyst reports for investment decisions.
Mathematics
Apr 1, 2019
0
9
A technology that combines satellite data and numerical model data for forest fire detection has been developed, offering a more comprehensive and adaptable approach to monitor and respond to wildfires. This innovative solution, ...
Earth Sciences
Oct 20, 2023
0
20
The role of deep learning in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning that can more effectively identify ...
Earth Sciences
Sep 4, 2020
0
10
Deep learning has radically changed the field of artificial intelligence. Now neural networks are revolutionizing the way that we discover new drugs. We talk to Francesca Grisoni, assistant professor at the department of ...
Biotechnology
Sep 16, 2021
0
240
Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise ...
Analytical Chemistry
Apr 4, 2022
0
270
A study of volatile organic compounds (VOCs) emitted by new cars on hot summer days finds concerning levels of formaldehyde and other aldehydes.
Analytical Chemistry
Jul 23, 2024
0
125
New drug discovery is a complicated, expensive and time-consuming process. Traditional drug development pipeline needs 12 years and $2.7 billion USD on average.
Molecular & Computational biology
Jul 31, 2020
0
5
Recent research led by the University of Massachusetts Amherst evaluates how well machine learning can identify different insect species by their sound, from malaria-carrying mosquitoes and grain-hungry weevils to crop-pollinating ...
Ecology
Apr 4, 2024
0
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