A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer ...

In our view, higher-category theory, which possesses the highest degree of abstraction, is a second-level language relative ...

“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 ...

A single training run for a large neural network can release roughly 626,000 pounds of carbon dioxide equivalent, a figure ...

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

And without that proof, no safety-critical system can be certified with a neural network in its control loop. A new theorem ...