Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems. Researchers are developing a ...

PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...

From solving puzzles to masterfully playing a game of chess, current artificial intelligence tools have employed algorithms and generative responses to mimic human intelligence in ways that, at times, ...

Recursive digital selves underpin targeted advertising, predictive policing, and workplace monitoring. In each case, the ...

Roman C. Ugarte ’24 is an Applied Math in Economics concentrator in Eliot House. K. Oskar Schulz ’22 is currently on leave founding a startup in New York City. Their column, “Under-indexed,” runs on ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

Last year, researchers at the Alignment Research Center, a non-profit dedicated to aligning future machine learning systems with human interests, gave OpenAI’s large language model GPT-4 an amusing ...

If the Covid-19 pandemic has shown us one thing, it is how little we really know about how the human immune system works. Despite the remarkable success in development of vaccines to prevent severe ...