Computer Sciences

Q&A: How AI came to model the 'messy' human mind

Generative artificial intelligence models are rooted in ideas of mid-20th-century engineers who thought some amount of irrationality was essential for a machine that could think like a human, contends Benjamin Lindquist, ...

Electronics & Semiconductors

Tiny droplets form soft networks for brain-inspired computing

Inside the human brain, billions of individual neurons connect to form a vast network capable of rapidly processing information and electrical signals. A team of researchers and engineers at Penn State is taking inspiration ...

Computer Sciences

The tests that grade AI may be getting it wrong

Before a new AI model reaches the public, its developers run it through a battery of tests known as "benchmarks," which score it on everything from reasoning ability to how safe it is for people to use. Billions of investment ...

Computer Sciences

Can AI understand space, time and pain?

Artificial intelligence can do remarkable things, but how much does it actually understand about the world? Researchers have found that surprisingly specific information can be extracted from the inner workings of large language ...

Computer Sciences

Seeing Rembrandt through the eyes of a machine

A few hundred years ago, determining whether a painting was created by a master like Rembrandt or a talented copycat depended only on the trained eye of an expert. Then, new tools like X-rays and infrared imaging allowed ...

Computer Sciences

Improving AI-generated images, pixel by pixel

If you have ever used an artificial intelligence text-to-image generator like ChatGPT or Google Gemini, you may have encountered a common but maddening problem: The image looks nearly perfect, but when you ask the AI to fix ...

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