Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...