Laboratory for Information and Decision Systems (LIDS)

School of Engineering second quarter 2018 awards

Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.

July 17, 2018

A new computer chip, smaller than a U.S. dime and shown here with a quarter for scale, helps miniature drones navigate in flight.

Chip upgrade helps miniature drones navigate

Low-power design will allow devices as small as a honeybee to determine their location while flying.

June 20, 2018

A new algorithm developed by MIT researchers helps keep data fresh within a simple communication system, such as multiple drones reporting to a single control tower.

Keeping data fresh for wireless networks

Algorithm provides networks with the most current information available while avoiding data congestion.

June 4, 2018

MIT engineers have developed a new virtual-reality training system for drones that enables a vehicle to “see” a rich, virtual environment while flying in an empty physical space.

Researchers develop virtual-reality testing ground for drones

With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.

May 17, 2018

“What this study shows is that rather than shut down nuclear plants, you can operate them in a way that makes room for renewables,” says MIT Energy Initiative researcher Jesse Jenkins. “It shows that flexible nuclear plants can play much better with variable renewables than many people think, which might lead to reevaluations of the role of these two resources together.”

Keeping the balance: How flexible nuclear operation can help add more wind and solar to the grid

Model finds operating nuclear plants flexibly can reduce electricity costs, increase revenue for nuclear plants, and cut carbon emissions in electric power systems.

April 25, 2018

"As the momentum builds, developers will be able to set up a ML [machine learning] apparatus just as they set up a database," says Max Kanter, CEO at Feature Labs. "It will be that simple."

ML 2.0: Machine learning for many

Automated data science tools developed by MIT and Feature Labs deliver their first AI product.

March 6, 2018

A new theoretical analysis of wireless localization systems represents settings of a wireless network (yellow) and measurement error (purple) as three-dimensional spaces. The intersection of the two spaces defines the network’s optimal configuration.

Location detection when GPS doesn’t work

Theoretical study shows how to make wireless localization much more accurate.

January 22, 2018

To solve complex problems, data scientists must shepherd their raw data through a series of steps, each one requiring many human-driven decisions. The last step in the process, deciding on a modeling technique, is particularly crucial.

Auto-tuning data science: New research streamlines machine learning

A new automated machine-learning system performs as well or better than its human counterparts — and works 100 times faster.

December 19, 2017

First row, left to right: Arvind Satyanarayan, Bryan Bryson, David Des Marais, Desiree Plata. Second row, left to right: Sili Deng, Wim van Rees, Farnaz Niroui, Julian Shun. Third row, left to right: Koroush Shirvan, Luca Carlone, Mingda Li, Phillip Isola. Fourth row, left to right: Rafael Gomez Bombarelli, Song Han, Tami Lieberman, Tim Kraska.

School of Engineering welcomes new faculty

Sixteen new professors join seven of the school’s departments.

December 8, 2017

To determine what products a given customer might like, recommendation systems at websites such as Amazon and Netflix look for other customers who have assigned similar ratings to a similar range of products, and extrapolate from there.

Try this! Researchers devise better recommendation algorithm

Improved recommendation algorithm should work especially well when ratings data are “sparse.”

December 6, 2017

At an MIT workshop on the internet of things, experts discussed massive multiple-access. From left to right: Wei Yang of Qualcomm, Wei Yu of the University of Toronto, Giuseppe Durisi of Chalmers University, and Giuseppe Caire of the Technical University of Berlin.

Gearing up for the internet of things

Workshop brings together academia and industry to explore how to prepare next-generation wireless for machine-to-machine communication.

November 22, 2017

Ian Schneider is exploring research questions about the interaction between the workings of financial markets and the fluctuations of energy supply.

Engineering a brighter future

Optimizing the design of electricity markets could make it easier to integrate renewable energy sources into the power grid.

November 17, 2017

“I think that the concept of massive and open data science can be really leveraged for areas where there’s a strong social impact but not necessarily a single profit-making or government organization that is coordinating responses,” MIT graduate student Micah Smith says about FeatureHub.

Crowdsourcing big-data analysis

Web-based system automatically evaluates proposals from far-flung data scientists.

October 30, 2017

The MIT Laboratory for Information & Decision Systems hosted the Smart Urban Infrastructures Workshop on May 11-12, 2017 at the MIT Media Lab.

LIDS Smart Urban Infrastructures Workshop highlights emerging research

Speakers from academia, industry, and government discuss the evolution of smart urban systems.

May 31, 2017

Nicholas Fang, an associate professor of mechanical engineering, won an MITEI Seed Fund grant to continue his research into developing efficient ceramic support structures for catalytic converters used in power plants and in the automotive industry. This photo shows a piece of 3-D-printed cellular ceramic substrate with 100-nm-thin walls that has exhibited excellent thermal conductance and mechani...

MIT Energy Initiative awards 10 seed fund grants for early-stage energy research

May 2, 2017

MIT News | Massachusetts Institute of Technology

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