A new method, which uses synthetic datasets and transfer learning to overcome data scarcity and variability, significantly outperforms conventional techniques in multi-year field trials.
Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few years. Since the release ...
A new strategy for strengthening polymer materials could lead to more durable plastics and cut down on plastic waste, according to researchers at MIT and Duke University.
Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted ...
Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
Around 1,500 Latin inscriptions are discovered every year, offering an invaluable view into the daily life of ancient Romans—and posing a daunting challenge for the historians tasked with interpreting them.
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according to a paper recently published ...
The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new functions and can solve problems in medicine or materials science. The past few years have marked ...
Stars are the fundamental building blocks of our universe. Most stars host planets, like our sun hosts our solar system, and if you look more broadly, groups of stars make up huge structures such as clusters and galaxies. ...
A team of European researchers has shed new light on the genetic origins of Papua New Guineans. The team uses advanced artificial intelligence (AI) tools to demonstrate that Papua New Guineans are closely related to other ...
