Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

AI startups are seeing record valuations, but many are building on a foundation of cheap, free-to-download Chinese AI models.

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks.

Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...