Recent years have seen a significant increase in the availability of large datasets for agriculture applications. Remote ...

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, ...

Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.

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 ...

The same type of machine learning methods used to pilot self-driving cars and beat top chess players could help type-1 diabetes sufferers keep their blood glucose levels in a safe range. Scientists at ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...