Robots currently attempt to identify objects in a point cloud by comparing a template object — a 3-D dot representation of an object, such as a rabbit — with a point cloud representation of the real world that may contain that object.

Spotting objects amid clutter
MIT News Office | June 21, 2019

Robots can quickly find objects hidden in 3D data thanks to a new technique developed by researchers from the Laboratory for Information and Decision Systems (LIDS) -- including Aero/Astro and IDSS/LIDS professor Luca Carlone and Heng Yang, a grad student in LIDS and MechE.

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Commuters wait for a Red Line subway train, part of Boston’s public transit system. A new study by MIT researchers shows that low-income people use mass transit significantly more often when they have access to fare reductions.

An experiment illuminates the value of public transportation
MIT News Office | June 21, 2019

IDSS affiliate and DUSP professor Jinhua Zhao is co-author on a paper, led by DUSP grad student Jeffrey Rosenblum, showing how fare discounts for low-income people could increase public transit ridership.

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l-r: Dr. Florian Metzler, Dr. Maimuna Majumder, Dr. Christopher Saulnier, Dr. Lita Das, Dr. Paul Natsuo Kishimoto, Dr. Adam Williams; photo: Marco Miotti

IDSS congratulates 2019 graduates
June 7, 2019

IDSS and IDSS-affiliated graduates were awarded 25 doctoral degrees, 52 Master of Science degrees, 7 Master of Engineering degrees, and 14 bachelor’s degrees with a Minor in Statistics and Data Science.

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Using their “Cybersafety” methodology, Professor Stuart Madnick (left), graduate student Shaharyar Khan (right), and Professor James Kirtley Jr. (not pictured) identified several cyber vulnerabilities in a small power plant, including a system that poses a risk because it relies on software rather than mechanical safety devices to keep turbines from spinning out of control. Photo: Stuart Darsch

Protecting our energy infrastructure from cyberattack
MIT News Office | June 6, 2019

Researchers including IDSS affiliate and MIT Sloan professor Stuart Madnick are addressing cyber vulnerabilities in energy systems using a methodology that examines the interaction of people, equipment, and policies.

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Tamara Broderick

Tamara Broderick receives Notable Paper Award from AISTATS for ‘A Swiss Army Infinitesimal Jackknife’
June 5, 2019

The annual international conference on Artificial Intelligence and Statistics recognized the paper for demonstrating how a linear approximation, known as the "infinitesimal jackknife" in statistics literature, can be used to address a variety of challenges in machine learning.

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Saurabh Amin and Sertac Karaman

Saurabh Amin and Sertac Karaman awarded tenure
June 5, 2019

"Saurabh and Sertac are exceptionally accomplished as both scholars and teachers," said John Tsitsiklis, director of LIDS. "I know that both will continue to make seminal contributions in their fields."

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Attendees at the Synthetic Control and Related Methods conference hosted by IDSS in 2019.

IDSS hosts ‘Conference on Synthetic Control and Related Methods’
June 5, 2019

Researchers shared ideas on a statistical method gaining prominence in economics at a two-day event sponsored by the National Science Foundation and the National Bureau of Economic Research.

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Sasha Rakhlin

Alexander “Sasha” Rakhlin receives 2019 Joseph A. Martore Award for Excellence in Teaching in IDSS
June 4, 2019

IDSS recognized Rakhlin for developing a new course and serving as head of the Interdisciplinary Doctoral Program in Statistics.

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Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how increasingly popular automated machine-learning (AutoML) systems work.

Cracking open the black box of automated machine learning
MIT News Office | June 3, 2019

New interactive tool ATMSeer, developed by Laboratory for Information and Decision Systems (LIDS) research scientist Kalyan Veeramachaneni and colleagues, lets users see and control how automated model searches work.

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New IDSS research "will demonstrate the power of data coupled with advanced tools from predictive analytics, machine learning, reinforcement learning, and data sharing markets," says IDSS Director Munther Dahleh.

Empowering African farmers with data
May 31, 2019

New research from IDSS, funded by OCP, a leading global company in the phosphate fertilizer industry, aims to help African farmers increase their production and profits with better prediction.

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