Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

AI companies face delays and challenges with training new large language models Some researchers are focusing on more time for inference in new models Shift could impact AI arms race for resources ...

The ability to measure the connectivity of each neuron in a neural circuit has established large maps of neuronal pathways—the connectome. But the extent to which those connectivity measurements alone ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...

The paper includes Employability Skills and Subject-Specific Skills, covering communication, ICT, AI concepts, and practical ...

The conceptual design stage is a key step in aircraft development, laying the foundation for performance, efficiency and innovation. Traditionally, this process relies heavily on experienced designers ...