CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

The first major upgrade being introduced by Timekettle is an automatic AI model picker called the SOTA (State of the Art) ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and controllably can mean the difference between a functioning electrical grid and a ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

The Asian Development Bank and its partners show that poor data on road quality and rural access weakens development outcomes, even though good roads are critical for growth, inclusion, and poverty ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...