{"id":26999,"date":"2018-10-04T14:08:45","date_gmt":"2018-10-04T18:08:45","guid":{"rendered":"https:\/\/www.tun.com\/blog\/?p=26999"},"modified":"2022-03-16T10:15:46","modified_gmt":"2022-03-16T14:15:46","slug":"women-killin-it-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.tun.com\/blog\/women-killin-it-artificial-intelligence\/","title":{"rendered":"Women Killin\u2019 It in AI"},"content":{"rendered":"

From autonomous vehicles to emergency response robots, machine-learning artificial intelligence is quickly entering our daily lives.<\/p>\n

AI is developing at impressive rates, and continues to aid in the improvement of medicine, engineering, robotics and entertainment.<\/p>\n

Each day scientists around the world are developing innovative new technology — ranging in diversity from flexible robots to algorithms that can detect animal behavior — and women are often at the forefront of such work.<\/p>\n

In this article, we highlight 11 women who are \u201ckillin\u2019 it\u201d in AI.<\/p>\n

[divider]<\/p>\n

Dina Katabi<\/b><\/h2>\n

Andrew & Erna Viterbi Professor of Electrical Engineering and Computer Science, MIT <\/i><\/p>\n

In a groundbreaking new project, Dina Katabi <\/a>and a team of researchers at MIT have developed a computerized system, dubbed \u201cRF-Pose,\u201d that uses AI to see people through walls<\/a>.<\/p>\n

RF-Pose works by using a neural network to analyze radio frequencies that reverberate off people\u2019s bodies. Since AI learns by example, the researchers taught the machine to associate particular radio signals with specific human actions.<\/p>\n

The researchers collected thousands of images of people in activities like walking, talking, standing, sitting, and opening doors and elevators, and used the images to create stick figures posing in the same manner.<\/p>\n

They then paired these stick figure poses with corresponding radio signals and showed them to the AI. This allowed the system to detect people\u2019s postures and movement in real time, even from behind walls or in the dark.<\/p>\n

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Image: Jason Dorfman\/MIT CSAIL<\/figcaption><\/figure>\n

Katabi believes the technology can be used for medical purposes, allowing doctors to observe disease progression in Parkinson\u2019s, multiple sclerosis and muscular dystrophy.<\/p>\n

\u201cEstimating the human pose is an important task in computer vision with applications in surveillance, activity recognition, gaming, etc.,\u201d Katabi told TUN.<\/p>\n

[divider]<\/p>\n

Rebecca Kramer-Bottiglio<\/b><\/h2>\n

Assistant Professor of Mechanical Engineering & Materials Science, Yale University <\/i><\/p>\n

Imagine a flexible robot that could be reprogrammed to perform countless tasks. Better yet, a device that could be used to transform any old useless, inanimate object \u2014 your favorite stuffed animal, for example \u2014 into a fully functional robot.<\/p>\n

Though it may sound like science fiction, Rebecca Kramer-Bottiglio<\/a> and a group of Yale University researchers are making this a reality.<\/p>\n

The research team has developed a programmable elastic material called \u201cOmniSkins\u201d that can be used to make a multipurpose robot on the fly<\/a>.<\/p>\n

These \u201crobotic skins\u201d are composed of elastic sheets embedded with sensors and actuators. They come in different shapes and sizes, and are modular, which means that they can be combined and arranged in various ways to fit different objects and perform different functions.<\/p>\n