Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

Abstract: Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However, federated ...

AI medical diagnosis apps offer major opportunities in enhancing diagnostic accuracy and efficiency through AI algorithms.

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...

The next generation of financial crime prevention will be built on smarter architectures, not bigger data pools.

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...