The news these days is full of stories about AI. Lately, we're seeing how deepfake techniques create altered and convincing videos, photos or audio of people and how deep learning and neural networks ...

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step. This mechanism is used in features that filter spam, identify what is in a ...

Researchers at Zhejiang University and Hangzhou City University have developed DeepMoCo, a graph neural network framework ...

When learning neural networks, terms like activation functions, loss functions, backpropagation, and gradient descent appear ...

A biologically inspired pulvinar-like skip pathway in a convolutional vision model acts primarily as a gain controller and ...

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

Called Dynamic Clustering for Channel Pruning (DCCP), the method reduced the floating-point operations of ResNet-50 by 68.52% ...

Learning AI as a technical discipline usually involves more than understanding how a model works. A useful skill set now ...

Whereas traditional neuroscience relies on static snapshots of brain activity, the future of neuroimaging demands dynamic, high-fidelity monitoring of ...