AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.
From simple text generation to autonomously powering robotic arms on production lines, AI technology offers enterprises a kaleidoscope of new capabilities. So which aspects of AI advancement have ...
A relatively simple experiment involving asking a generative AI to compare two objects of very different sizes allows us to ...
Generative AI video technology is not yet good enough for anyone to make an entire feature-length movie. But Bekmambetov felt compelled to try. He adapted The Man With a Shattered World, a book about ...
Just like a fancy camera doesn't make you a photographer, just having access to powerful AI tools doesn't mean you're getting real value out of them. It's what you do with the tools—how you structure ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
Much of the focus on the use of AI in K-12 instruction has been on traditional academic subjects and whether the technology is helping or hurting students’ ability to learn the subject matter. Less ...
What counts as “sensitive information” is not always obvious to children. Some examples, like a home address or phone number, ...
How cooperatives, public institutions, and social movements can come together to intentionally build a practical, ...
Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...
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