This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

The Genesis GV60 Magma challenges Mercedes-AMG dominance with 640 hp, aggressive design, and innovative tech like virtual ...

The 2026 Subaru Outback arrives with a detail that has already sparked debate in owner forums and walkaround videos: a roof ...

FlyDubai orders 150 Airbus A321neo aircraft, expanding its fleet beyond Boeing for the first time As Cowboys return to field, ...

A new paper shows ChatGPT-5 emerging as a tool that helps scientists test ideas, navigate literature and refine experiments ...

Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also ...

When Old Town High School Math Teacher Kristen Thompson uses TriO—a virtual reality environment developed by researchers at ...

A new recycling method breaks mixed plastics into their building blocks and selectively rebuilds each one, turning multilayer ...

Camila Flamiano Domonoske covers cars, energy and the future of mobility for NPR's Business Desk. She covers the automotive supply chain, reporting from the salt piles of an active lithium mine and ...

Objectives Understanding contextual drivers of family planning is crucial for designing effective, context-specific policies and programmes. This study aimed to assess (1) the extent to which province ...

Agilent Technologies, Inc. ( A) Bank of America Global Healthcare Conference 2025 September 25, 2025 4:50 AM EDT ...

Abstract: Convolutional neural networks (CNNs) play a key role in many deep learning applications; however, these networks are resource intensive. The parallel computing ability of computing-in-memory ...