The ionosphere – the region of geospace spanning from 60 to 1000 kilometres above the Earth – impairs the propagation of radio signals from global navigation satellite systems (GNSS) with its ...

With the GlobalBuildingAtlas, a research team at the Technical University of Munich (TUM) has created the first high-resolution 3D map of all buildings worldwide. The open data provides a crucial ...

Baylor College of Medicine’s Center for Precision Medicine Models has received a five-year, $10 million grant from the National Institutes of Health to continue its work using precision models to ...

Three-dimensional (3D) surface geometry provides essential information in various sciences and precision engineering. Fringe Projection Profilometry (FPP) is one of the most powerful non-contact (thus ...

CPAM serves as a resource dedicated to helping UAB researchers understand genetic changes in disease by developing precision disease models that span experimental, cellular and computational systems. ...

Using CRISPR-based technologies, the MoDeL team introduces precise genetic modifications in mice, enabling researchers to uncover how mammalian genes maintain health and contribute to disease.

The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...

The staggering computational demands of AI have become impossible to ignore. McKinsey estimates that training an AI model costs $4 million to $200 million per training run. The environmental impact is ...

Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...

With the help of neural networks, the complexity of the layer around the Earth can be reconstructed much better than before. This is important for satellite navigation, among other things. The ...