A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but to date this work has struggled to capture the ...
Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...
Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.
For many diseases and chronic conditions, an individual's genes play a role in their likelihood of developing the disease. While some inherited diseases, such as cystic fibrosis or sickle cell anemia, ...
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
According to IEEE, the award “recognizes outstanding original papers published in IEEE/ACM Transactions on Networking or the IEEE Transactions on Network and Service Management” within the last three ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...
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