HomeArtificial IntelligenceA guided tour of the brand new MIT Museum

A guided tour of the brand new MIT Museum


LIGO prototype

Developed by Professor Emeritus Rainer Weiss ’55, PhD ’62, and his college students, this Seventies prototype led to the Laser Interferometer Gravitational-wave Observatory (LIGO), a large-scale physics experiment that was in the end capable of detect the gravitational waves predicted by Einstein’s Common Idea of Relativity. The work earned Weiss the 2017 Nobel Prize in physics.

“The experiments that LIGO was capable of facilitate really feel like magic to me, as a non-physicist,” Nuñez says. “Are you able to think about what it was prefer to be there once they came upon it labored? What a tremendous second for humanity!”

Kismet

One in all first social robots designed to simulate social interactions, Kismet was created within the Nineteen Nineties by Cynthia Breazeal, SM ’93, ScD ’00, who’s now MIT’s dean for digital studying and head of the Private Robots Analysis Group on the MIT Media Lab. Initially managed by 15 totally different computer systems, Kismet employed 21 motors to create facial expressions and physique postures.

“I’ve a variety of affinity for that exact artifact,” says Nuñez, who studied with Breazeal on the Media Lab. “It’s such a charismatic object; it’s one of many museum’s Instagram moments.”

IRGO

Developed by Julie Shah ’04, SM ’06, PhD ’11, IRGO is an interactive robotic that museum guests may help to coach by way of artificial-intelligence demonstrations. “Our guests are collaborating in actual robotics analysis,” Nuñez says. “That’s such a uncommon and particular alternative.”

At the moment Shah is the H.N. Slater Professor in Aeronautics and Astronautics at MIT and head of the Interactive Robotics Group inside the Pc Science and Synthetic Intelligence Laboratory. She shares her ideas on AI in a close-by audio gallery. Different alumni featured in that gallery embody Professor Rosalind Picard, SM ’86, ScD ’91, director of the Media Lab’s Affective Computing Analysis Group, and Media Lab PhD college students Matt Groh, SM ’19, and Pat Pataranutaporn, SM ’20.

“We would like to have the ability to expose the truth that there are communities of individuals behind every little thing you’re seeing,” Nuñez says.

Coded gaze

Guests to the AI gallery can see the masks utilized by Pleasure Buolamwini, SM ’17, PhD ’22, to current a white face—quite than her personal Black one—to facial recognition software program, which she discovered was much less correct for individuals with darkish pores and skin. In her doctoral thesis, Buolamwini coined the time period “coded gaze” to explain algorithmic bias.

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