Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

The ability to learn from data is developing in concordance with a number of other advances, including the generation of big data in a range of scientific applications, and rapid progress in materials ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

Catalysis is a highly complex, multiscale phenomenon of chemical and energy transformations at active sites. Probing underpinning processes to infer design knowledge and strategies for ...

Part 6 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the data science and machine learning tool space. As businesses and organizations struggle to manage ...