How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces ...

They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...

What does it take to make AI that can pass as human? Try massive clusters of supercomputers. To build human-like intelligence, computer scientists think big. However, for neuroscientists who want to ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Brex reports T-accounts as essential visual tools in accounting that clarify how transactions impact debits and credits, ...

Abstract: Transformers and convolutional neural networks (CNNs) have garnered significant attention recently for low-level vision tasks, particularly image super-resolution (SR). However, CNNs are ...

Abstract: Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks (CNNs), ...

Federal immigration agents detain a man during an operation by Immigration and Customs Enforcement (ICE) and Border Patrol in St. Paul, Minnesota, on Jan. 27, 2026. (Photo by Octavio JONES / AFP via ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...