A map of the streets of Manhattan, comparing the real-world traffic data to a conventional traffic model and the authors’ data-driven macroscopic mobility model.

Symage, a provider of physics-based, high-fidelity synthetic image data for training AI and computer vision models, will ...

A medical artificial intelligence (AI) technique now enables the precise and high-quality reconstruction of MRI images even ...

What are LLMs? Know their working, meaning, benefits, & application, and discover the best large language model examples.

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

Despite being one of the largest animals on the planet, the limited population and vast territory of the North Atlantic right ...

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyzes previously unutilized information in ...

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from ...

Top-down methods are efficient and consistent across countries but often fail to capture local detail. Bottom-up inventories, ...

When Rutgers theoretical astrophysicist Charles Keeton first saw an unusual picture shared by his colleague, he was intrigued ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.