Laura Pike Seeley

FOR A DECADE now, many of the most impressive artificial intelligence systems have been taught using a huge inventory of labeled data. An image might be labeled “tabby cat” or “tiger cat,” for example, to “train” an artificial neural network to correctly distinguish a tabby from a tiger. The strategy has been both spectacularly successful and... See more

For researchers interested in the intersection of animal and machine intelligence, moreover, this “supervised learning” might be limited in what it can reveal about biological brains. Animals—including humans—don’t use labeled data sets to learn. For the most part, they explore the environment on their own, and in doing so, they gain a rich and... See more

We’re at the dawn of something big and unknown. New technologies are shaping the future in ways we haven’t even thought of yet. Some of them will have extraordinary benefits, while others, through unforeseen capabilities or even sinister intentions, may have unwanted consequences. But as designers, it’s up to us to explore them early, dive into

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The traditional office was probably doomed anyway. Then a global shutdown changed everything we thought we knew about work, including where and when it needed to take place.

There have been 95 college mergers in the past four years, 21% more than in the previous 18 years, per The Wall Street Journal.

To make effective use of information, we need to package it up and make it accessible for our future self.