(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates ...

The most prominent cases of machine-learning and GenAI in HR appear to be focused around candidate identification and ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

The study highlights potential identity shifts as AI assumes roles traditionally tied to worker competence. For specialists ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.