• MIT Chancellor Cynthia Barnhart and Dean of Engineering Anantha Chandrakasan visited with MIT students in the Ray and Maria Stata Center yesterday during the Computing Exposition that kicked off a three-day celebration of the MIT Stephen A. Schwarzman College of Computing.

    MIT Chancellor Cynthia Barnhart and Dean of Engineering Anantha Chandrakasan visited with MIT students in the Ray and Maria Stata Center yesterday during the Computing Exposition that kicked off a three-day celebration of the MIT Stephen A. Schwarzman College of Computing.

    Photo: Lillie Paquette

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  • For Kadeem Khan, a graduate student in the Department of Urban Studies and Planning, the day was special. “I wanted to do a project focused on machine learning and the developing world,” he said. Khan applied machine learning to generate useful insights on poverty in Nairobi by analyzing data from multiple sources, including census, satellite imagery, and data from a geographic information system.

    For Kadeem Khan, a graduate student in the Department of Urban Studies and Planning, the day was special. “I wanted to do a project focused on machine learning and the developing world,” he said. Khan applied machine learning to generate useful insights on poverty in Nairobi by analyzing data from multiple sources, including census, satellite imagery, and data from a geographic information system.

    Photo: Lillie Paquette

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  • MIT senior Sarah Wooders, who is majoring in math and computer science, has collected a dataset of over 4 million product images and descriptions scraped from online and has trained models to collectively label over 90 important clothing attributes. Her project is called Allparel with the tag line: “A fashion search that actually works.”

    MIT senior Sarah Wooders, who is majoring in math and computer science, has collected a dataset of over 4 million product images and descriptions scraped from online and has trained models to collectively label over 90 important clothing attributes. Her project is called Allparel with the tag line: “A fashion search that actually works.”

    Photo: Lillie Paquette

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  • Agni Orfanoudaki (pictured) and Antonin Dauvin, both graduate students in operations research at the MIT Sloan School of Management, created a personalized treatment for hypertensive patients using machine learning. “Drug prescription is a challenge. We aggregated a lot of information and structured the information that is available in the system. Then we made an app that plugs in the values that are actually relevant,” she said.

    Agni Orfanoudaki (pictured) and Antonin Dauvin, both graduate students in operations research at the MIT Sloan School of Management, created a personalized treatment for hypertensive patients using machine learning. “Drug prescription is a challenge. We aggregated a lot of information and structured the information that is available in the system. Then we made an app that plugs in the values that are actually relevant,” she said.

    Photo: Lillie Paquette

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  • Chemical engineering graduate student Justin Swaney is applying machine learning to music production. “Our team uses machine learning to improve the current tools for audio sampling and sample organization. We connect machine learning with music production and audio engineering — augmenting our creative abilities with the help of machines,” said Swaney, who was among the top entrants.

    Chemical engineering graduate student Justin Swaney is applying machine learning to music production. “Our team uses machine learning to improve the current tools for audio sampling and sample organization. We connect machine learning with music production and audio engineering — augmenting our creative abilities with the help of machines,” said Swaney, who was among the top entrants.

    Photo: Lillie Paquette

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  • At the student Computing Exposition yesterday, (l-r) Chancellor Cynthia Barnhart; civil and environmental engineering graduate student Judyta Cichocka, a top entrant; and Dean of Engineering Anantha Chandrakasan. With co-developer Radoslaw Grymin, Cichocka is working on the development of Goldfish, a multi-criteria optimizer based on software intended to assist the decision-making process in the design-related engineering disciplines with a focus on architectural and civil engineering.

    At the student Computing Exposition yesterday, (l-r) Chancellor Cynthia Barnhart; civil and environmental engineering graduate student Judyta Cichocka, a top entrant; and Dean of Engineering Anantha Chandrakasan. With co-developer Radoslaw Grymin, Cichocka is working on the development of Goldfish, a multi-criteria optimizer based on software intended to assist the decision-making process in the design-related engineering disciplines with a focus on architectural and civil engineering.

    Photo: Lillie Paquette

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  • Russel Pasetes (left), a third-year electrical engineering and computer science student, describes the MIT Spatial Sound Lab, a project that uses new computing technology and cutting-edge speakers to create spatially mixed surround sound, to Dean of Engineering Anantha Chandrakasan (center) and Chancellor Cynthia Barnhart.

    Russel Pasetes (left), a third-year electrical engineering and computer science student, describes the MIT Spatial Sound Lab, a project that uses new computing technology and cutting-edge speakers to create spatially mixed surround sound, to Dean of Engineering Anantha Chandrakasan (center) and Chancellor Cynthia Barnhart.

    Photo: Lillie Paquette

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Taking the lead in shaping the future of computing and artificial intelligence

MIT Chancellor Cynthia Barnhart and Dean of Engineering Anantha Chandrakasan visited with MIT students in the Ray and Maria Stata Center yesterday during the Computing Exposition that kicked off a three-day celebration of the MIT Stephen A. Schwarzman College of Computing.

Popular expo highlights student creativity and ambition as celebration of the MIT Schwarzman College of Computing gets underway.


Press Contact

Meg Murphy
Email: mlmurphy@mit.edu
Phone: 617-715-4339
School of Engineering

With a box of popcorn in one hand, Hal Abelson, a renowned computer scientist, strolled through the first floor of the Ray and Maria Stata Center studying the machine learning exhibits that surrounded him on the afternoon of Feb. 26. Everywhere he looked he saw evidence of the remarkable things MIT students can do when given access to computing resources.

“Computing tools and infrastructure have gotten to a place where students can outperform professional researchers. You are constrained mostly by your imagination. It’s just an amazing time,” said Abelson, the Class of 1922 Professor of Computer Science and Engineering.

Abelson, and a crowd of hundreds, was witnessing the kickoff of a three-day celebration of the MIT Stephen A. Schwarzman College of Computing. The afternoon event was an exposition of projects that transformed the student street lobby area of the Stata Center into a computing fairground of sorts, replete with courtesy popcorn, bubble tea, lemon squares, brownies, celebratory stickers, and a host of student exhibits that crossed disciplines, broke barriers, and inspired new thinking.

For Kadeem Khan, a graduate student in urban studies and planning and an expo participant, the day was special. “I wanted to do a project focused on machine learning and the developing world,” he said. Khan applied machine learning to generate useful insights on poverty in Nairobi by analyzing data from multiple sources, including census, satellite imagery, and data from a geographic information system.

“The poverty exhibit is an example of what I was just saying,” said Abelson. “Somehow the resources are here now to allow students to bring things to the next level.” Abeslson and Nicholas Roy, a professor of aeronautics and astronautics, CSAIL researcher, and director of the Bridge in the Quest for Intelligence, helped judge the teams during the monthlong student computing challenges leading up to yesterday.

Like Khan, MIT electrical engineering and computer science graduate student Natalie Lao embarked on a winning project with the potential to make transformative change in the world. “My background is in AI — but I'm also very interested in ethics and fairness and the risks involved when applying AI to the real world,” she said. Her team’s project uses network propagation and analysis to automatically discover and potentially halt the spread of fake news across a variety of media platforms. “We’re talking to the Department of Defense and various companies and trying to see how we can get the solution out in the world,” she said.

The MIT Schwarzman College of Computing, which represents a $1 billion commitment to addressing the global opportunities and challenges presented by the prevalence of computing and the rise of artificial intelligence, will provide students with unprecedented computing resources, including access to large data sets and the tools to learn from them. Yesterday, top entrants spoke in excited tones about the data sets they accessed during the Machine Learning Across Disciplines Challenge, which, along with the Connect Arts, Community, and Computing Challenge, was funded by the MIT-IBM Watson AI Lab.

Graduate students Agni Orfanoudaki and Antonin Dauvin, who are both studying operations research at the MIT Sloan School of Management, applied machine learning and techniques developed at MIT Operations Research Center to patient data from Boston Medical Center spanning two decades. They are developing an analytic approach to understanding the impact of different anti-hypertensive drugs.

Senior Sarah Wooders, an undergraduate in math and computer science, has collected a dataset of over 4 million product images and descriptions scraped from online sources. She then trained models to collectively label over 90 important clothing attributes and is is now building a system that can automatically label new clothing products. “It’s really exciting to see all the applications of AI,” said Wooders, also a top entrant. “My project feels like such an obvious idea but this type of system hasn’t been created yet. It seems the same thing is true for a lot of things in AI right now. And so someone like me can come along and do it.”


Topics: Special events and guest speakers, Artificial intelligence, Machine learning, MIT Schwarzman College of Computing, Chancellor, School of Engineering

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