Tag: Machine learning & AI

As policymakers in the U.S. and globally consider how to govern artificial intelligence technology, Berkeley researchers have joined with others to ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.

A University of Warwick epigraphy expert has collaborated with Google DeepMind to evaluate "Aeneas," an AI model that reimagines Roman inscriptions.

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring to $4.8 trillion ...

In high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer incorrectly. Doctors, ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.

Can large language models (LLMs) reason by analogy? Some outputs suggest that they can, but it has been argued that these ...

As artificial intelligence tools like ChatGPT are integrated into our everyday lives, our interactions with AI chatbots online become more frequent. ...

A team of AI researchers at the Alibaba Group's Tongyi Lab, has debuted a new approach to training LLMs; one that ...