In an ongoing game of cosmic hide and seek, scientists have a new tool that may give them an edge. Physicists at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) have developed a computer program ...
A team of physicists, geologists and signal theorists from the University of Granada, Spain, has developed a machine-learning-based algorithm designed to predict when Mount St. Helens will erupt.
Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth's surface, and is collected by ...
It is estimated that about 70% of the energy generated worldwide ends up as waste heat.
By harnessing the power of machine learning, researchers have constructed a framework for analyzing what factors most significantly contribute to a species' genetic diversity.
Foreign direct investments (FDI) in tropical countries in extractive industries like mining, logging and fossil fuels have a long, environmentally destructive track record in tropical countries. Are FDI in food systems another ...
Artificial intelligence technologies have achieved remarkable successes and continue to show their value as backbones in scientific research and real-world applications.
Proteins have evolved to excel at everything from contracting muscles to digesting food to recognizing viruses. To engineer better proteins, including antibodies, scientists often iteratively mutate the amino acids—the ...
Grassy box gum woodlands once covered millions of square kilometers in southeastern Australia, but today less than 5% remains. The loss of large old trees has been a crisis for the many species of birds and other animals ...
Scientists have developed an AI-based method that helps gather data more efficiently in the search for new materials, allowing researchers to navigate complex design challenges with greater precision and speed.
