Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility ...
As atmospheric carbon dioxide levels continue to rise, the ocean plays a crucial role in helping to reduce the full impact of human-driven climate change by absorbing roughly a quarter of the carbon dioxide emitted by human ...
For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key milestone toward demonstrating the advantages of quantum methods over classical computing. ...
Even the smartest machines can't match young minds at language learning. Researchers share new findings on how children stay ahead of AI—and why it matters.
Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.
In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical research.
Unexpected severe turbulence injured crew and passengers on a Qantas Boeing 737 during descent at Brisbane on May 4, 2024. The subsequent Australian Transport Safety Bureau investigation suggested the severity of the turbulence ...
Drug discovery can be a long and complex process. Medicines for neurodegenerative diseases like Alzheimer's disease are among the most expensive to develop, as animal model results have not proven to be predictive of efficacy ...
Large language models (LLMs), such as the model underpinning the functioning of the well-known conversational platform ChatGPT, have proved to be very promising for summarizing and generating written texts. However, they ...
A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen on the surface of materials.
