“Since launching our new data-as-a-service offering nearly a year ago, we’ve grown over 18x, and this week crossed an ...

Graph neural networks (GNNs) are specialised deep learning architectures designed to operate on data represented as graphs, where entities are modelled as nodes and relationships as edges. In ...

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change how learning happens—both in machines, and in living brains. “We can use ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...

Introduction The moment I felt the most cold sweat in my machine learning career was during an internal review when I was ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...