Ever since artificial intelligence and large language models became popular earlier this year, organizations have struggled to keep control over accidentally or deliberately exposing their data used ...

Meta updated its help resource center with a form that gives users some control over what personal data is used to train generative artificial intelligence models. The form doesn't account for data on ...

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Data form the backbone of the scientific method, but it can be impenetrable. In the penultimate episode of this six-part Working Scientist podcast series about art-science collaborations, Julie Gould ...

Artificial intelligence is no longer confined to data crunching and automation; it's making profound inroads into the creative industries. Generative models like generative adversarial networks (GANs) ...

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Paul J. Durack is a climate scientist at Lawrence Livermore National Laboratory, Livermore, California, USA. Carlo Buontempo is director of the Copernicus Climate Change Service at the European Centre ...

When OpenAI released its latest text-generating artificial intelligence, the large language model GPT-4, in March, it was very good at identifying prime numbers. When the AI was given a series of 500 ...

Anything you’ve ever posted online—a cringey tweet, an ancient blog post, an enthusiastic restaurant review, or a blurry Instagram selfie—has almost assuredly been gobbled up and used as part of the ...

Data now fuels everything from daily operations to long-term strategy, making data literacy—the ability to read, understand and leverage insights from data—a core business skill for professionals ...