Smartwatches are among the wearable devices that gather health data. Translating that data ... that pretraining with one bio-signal allows a machine-learning model to learn from another bio ...

This workshop, presented by the IMF Statistics Department, is aimed at country officials from NSOs and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data ...

"In the world of machine learning ... advanced techniques like transfer learning, ensemble models, or reinforcement learning. 3. Retrain models with fresh data to reflect current patterns and ...

A team of materials scientists, chemical engineers, and environmental scientists affiliated with a host of institutions in China has developed a redox flow battery (RFB) with 87.9% energy efficiency, ...

With the help of machine learning, a type of artificial intelligence that uses algorithms to learn from sets of information and draw conclusions from patterns found in that data, the model was ...

as well as how they inform the ways that neural networks learn from data, is crucial for improving the interpretability, efficiency, and generalizability of deep learning models. With that mind, the ...

The machine learning model analyzes host characteristics and ... The group includes experts in data science, computational biology, virology, ecology, and evolutionary biology.

Using Real-World Data for Machine-Learning Algorithms to Predict the ... 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models. By integrating these ...

One sub-field is proteomics—the study of proteins on a large scale—where vast amounts of protein data are ... in Nature Machine Intelligence, they propose two novel AI models to assist ...