Biologist Eduardo Sampaio researched octopuses off Cape Verde. He participated in a Citizen Science-led expedition that retraced the journey of Charles Darwin.
Plants & Animals
Nov 18, 2022
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58
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come online, with many papers published ...
General Physics
Oct 13, 2022
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619
Collaborative group work is increasingly prioritized across higher education, particularly in the life sciences and STEM-related fields. But how students communicate within these smaller groups is key to their success.
Education
Sep 26, 2022
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1
Wildfire smoke now exposes millions of Americans each year to dangerous levels of fine particulate matter, lofting enough soot across parts of the West in recent years to erase much of the air quality gains made over the ...
Earth Sciences
Sep 22, 2022
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25
A team of researchers from the Arabian Center for Climate and Environmental Sciences (ACCESS) at NYU Abu Dhabi (NYUAD) studied the evolution of dissolved oxygen in the Arabian Gulf over three decades and discovered a significant ...
Environment
Sep 15, 2022
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11
Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design.
Molecular & Computational biology
Sep 15, 2022
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2632
Harmful algal blooms (HABs) are phytoplankton colonies that may harm aquatic ecosystem and human health. The fish die-offs, shellfish closures and reluctance among consumers to eat seafood often caused by these blooms costs ...
Earth Sciences
Sep 1, 2022
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132
If you apply enough heat, at some point, most things melt, just like ice cream on a hot summer day.
Materials Science
Aug 29, 2022
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679
Researchers have designed a machine learning method that can predict the structure of new materials with five times the efficiency of the current standard, removing a key roadblock in developing advanced materials for applications ...
General Physics
Jul 28, 2022
0
348
