Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

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 ...

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...

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 ...

Quantum computing and artificial intelligence (AI) can be combined with classical computing methods to design and discover small-molecule candidates that target the cancer-driving KRAS protein, ...

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

ARTIFICIAL intelligence is no longer just a peripheral tool in research. The rapid accumulation, availability and ...