Research

Impact Areas
Research Areas

Filter options

1 News Results matching all criteria

Barbara Liskov 2

Algorithms & Theory AI & ML Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless

June 27 '19

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses

CSAIL hosts first-ever TEDxMIT

6 Group Results

Research Group

Geometric Data Processing Group

Our group studies geometric problems in computer graphics, computer vision, machine learning, optimization, and other disciplines.

+6

Justin Solomon

Leads

Justin Solomon

Research Areas

Algorithms & Theory

Graphics & Vision

Impact Areas

Lead

Justin Solomon

Justin Solomon

Research Group

Medical Vision Group

We develop new algorithms for medical image analysis and visualization of medical imagery.

+8

Polina Golland

Leads

Polina Golland

Research Areas

Computational Biology

Graphics & Vision

Impact Areas

Lead

Polina Golland

Polina Golland

Community of Research

Systems Community of Research

The Systems CoR is focused on building and investigating large-scale software systems that power modern computers, phones, data centers, and networks, including operating systems, the Internet, wireless networks, databases, and other software infrastructure.

+21

Sam Madden

Leads

Sam Madden

Research Areas

Computer Architecture

Programming Languages & Software Engineering

Security & Cryptography

Systems & Networking

Impact Areas

Internet of Things

Lead

Sam Madden

Sam Madden

Community of Research

Vertical AI Community of Research

This CoR takes a unified approach to cover the full range of research areas required for success in artificial intelligence, including hardware, foundations, software systems, and applications.

+7

Martin Rinard

Leads

Martin Rinard

Research Areas

Algorithms & Theory

Graphics & Vision

Programming Languages & Software Engineering

Security & Cryptography

Systems & Networking

Impact Areas

Internet of Things

Lead

Martin Rinard

Martin Rinard

Research Group

Vision Group

Our researchers create state-of-the-art systems to better recognize objects, people, scenes, behaviors and more, with applications in health-care, gaming, tagging systems and more.

Leads

Ted Adelson

Fredo Durand

John Fisher

William Freeman

Polina Golland

Eric Grimson

Berthold Horn

Aude Oliva

Antonio Torralba

Research Areas

Graphics & Vision

Impact Areas

Lead

Ted Adelson

Fredo Durand

John Fisher

William Freeman

Polina Golland

Eric Grimson

Berthold Horn

Aude Oliva

Antonio Torralba

Community of Research

Visual Computing Community of Research

The shared mission of Visual Computing is to connect images and computation, spanning topics such as image and video generation and analysis, photography, human perception, touch, applied geometry, and more.

+10

William Freeman

Leads

William Freeman

Research Areas

Graphics & Vision

Impact Areas

Lead

William Freeman

William Freeman

16 Project Results

Project

A Counterfactual Simulation Model of Causal Judgment

Computational Cognitive Science Group

Cognitive AI Community of Research

We develop a computational model that explains how people make causal judgments in physical scenes by mentally simulating counterfactual outcomes and comparing those to what actually happened.

Leads

Research Areas

Graphics & Vision

Impact Areas

Project

Artificial Co-driver

Computer Graphics Group

By observing driver in real road situations, we learn a computer assistant that can make driving easier, safer and more enjoyable.

Leads

Research Areas

Graphics & Vision

Impact Areas

Project

Artificial Social Intelligence for Successful Teams (ASIST)

Computation Structures Group

Computational Cognitive Science Group

Model-Based Embedded and Robotics Systems Group

Our goal is to develop a socially intelligent team coacher agent that helps humans communicate, strategize, and work together efficiently.

Leads

Howard Shrobe

Brian Williams

Boris Katz

Zhutian Yang

Research Areas

Computer Architecture

Human-Computer Interaction

Impact Areas

Project

Cardiac MRI analysis

Medical Vision Group

We develop image analysis algorithms for whole-heart cardiac MRI in patients with severe congenital heart disease.

Polina Golland

Leads

Polina Golland

Research Areas

Graphics & Vision

Impact Areas

Polina Golland

Project

Characterizing the Sensitivity of Vision-in-the-Loop Driving Controllers Using CG

Computer Graphics Group

We work on understanding and improving vision algorithms used for self driving cars, by introducing synthetic data-sets to the loop.

Leads

Research Areas

Graphics & Vision

Impact Areas

Project

Clinical Neuroimaging

Medical Vision Group

We develop novel algorithms for neuroimage segmentation, registration, and joint modeling of brain structure with clinical and genetic data.

+1

Polina Golland

Leads

Polina Golland

Research Areas

Graphics & Vision

Impact Areas

Polina Golland

Project

Computational Multicopter Design

Computer Graphics Group

A system that can help you to design our own drone!

Tao Du

Leads

Tao Du

Research Areas

Graphics & Vision

Impact Areas

Tao Du

Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

We are studying how best to implement bilateral control and make it acceptable to drivers

Berthold Horn

Leads

Berthold Horn

Research Areas

Graphics & Vision

Systems & Networking

Impact Areas

Berthold Horn

Project

Geometry and topology for scientific computing and shape analysis

Geometric Data Processing Group

Computer Graphics Group

Developing state-of-the-art tools that process 3D surfaces and volumes

+1

Justin Solomon

Leads

Justin Solomon

Research Areas

Algorithms & Theory

Graphics & Vision

Impact Areas

Justin Solomon

Project

Low-Power Speech Processing Circuits

Spoken Language Systems Group

The creation of low-power circuits capable of speech recognition and speaker verification will enable spoken interaction on a wide variety of devices in the era of Internet of Things.

Leads

Research Areas

Computer Architecture

Human-Computer Interaction

Impact Areas

Internet of Things

Project

Monitoring Fetal Health

Medical Vision Group

We develop algorithms for fetal MRI interpretation, to enable noninvasive fetal monitoring from MRI.

Polina Golland

Leads

Polina Golland

Research Areas

Graphics & Vision

Impact Areas

Polina Golland

Project

Peripheral Vision and Driver Behavior

Our goal is to understand what drivers can perceive when they are not attending to the road ahead and the consequences of their perceptions for safety.

Leads

Research Areas

Graphics & Vision

Impact Areas

Project

Quantification of Pulmonary Edema in Chest Radiographs

Medical Vision Group

We develop machine learning algorithms to automatically and quantitatively assess the severity of pulmonary edema from chest x-ray images.

+1

Polina Golland

Leads

Polina Golland

Research Areas

Graphics & Vision

Impact Areas

Polina Golland

Project

Tiramisu Compiler

A polyhedral compiler for expressing image processing, DNN, and linear/tensor algebra applications

Saman Amarasinghe

Leads

Saman Amarasinghe

Research Areas

Computer Architecture

Programming Languages & Software Engineering

Systems & Networking

Impact Areas

Internet of Things

Saman Amarasinghe

Project

Wearable Blind Navigation

Distributed Robotics Laboratory

We enable independent navigation for visually impaired users through a wearable feedback system using time-of-light sensors or depth cameras.

Leads

Research Areas

Graphics & Vision

Human-Computer Interaction

Impact Areas

Project

Where Are They Looking?

Our goal is to build a system that predicts where people are looking in images. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at.

Leads

Research Areas

Graphics & Vision

Impact Areas

18 People Results

Mazdak Abulnaga

Graduate Student

medical vision

E abulnaga@mit.edu

RM

Member

Monitoring Fetal Health

Medical Vision Group

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

medical vision

PI
Core/Dual

Ted Adelson

Professor

Vision, touch sensing, robotics

E adelson@csail.mit.edu

T 253-0645

RM

Lead

Blood Pressure Imager

Member

Embodied Intelligence Community of Research

Visual Computing Community of Research

Vision, touch sensing, robotics

PI
Core/Dual

Regina Barzilay

Professor

Natural language processing, machine learning

E regina@csail.mit.edu

T 258-5706

RM

Lead

Natural Language Processing Group

Aspect-Augmented Adversarial Networks for Domain Adaptation

Member

Vertical AI Community of Research

Applied Machine Learning Community of Research

Natural language processing, machine learning

PI
Core/Dual

Tim Berners-Lee

Professor

Systems, privacy, inventor of the World Wide Web

E timbl@w3.org

T 253-5702

RM

Lead

Decentralized Information Group

World Wide Web Consortium

Solid: Social Linked Data

Member

Computing & Society Community of Research

Systems, privacy, inventor of the World Wide Web

Yu-An Chung

Graduate Student

Speech and language processing, machine learning

E andyyuan@mit.edu

RM

Lead

Unsupervised Speech Processing

Member

Spoken Language Systems Group

Speech and language processing, machine learning

PI
Core/Dual

Fredo Durand

Professor

Vision, graphics, computational photography

E fredo@csail.mit.edu

T 253-7223

RM

Lead

Computer Graphics Group

Human-Computer Interaction

Computational Understanding of Visualizations and Graphic Designs

Member

Computational Bounce Flash for Indoor Portraits

Visual Computing Community of Research

Vision, graphics, computational photography

PI
Core/Dual

William Freeman

Professor

Vision, machine learning, Bayesian modeling

E billf@csail.mit.edu

T 253-8828

RM

Lead

Computer Graphics Group

Visual Computing Community of Research

Member

Single-Image 3D Interpreter Network

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

Learning the Arrow of Time from Videos

3D Generative Adversarial Networks

Embodied Intelligence Community of Research

Vision, machine learning, Bayesian modeling

PI
Core/Dual

Polina Golland

Professor

Vision, medical imaging, statistical inference

E polina@csail.mit.edu

T 253-8005

RM

Lead

Medical Vision Group

Monitoring Fetal Health

Cardiac MRI analysis

Clinical Neuroimaging

Quantification of Pulmonary Edema in Chest Radiographs

Member

Visual Computing Community of Research

Vision, medical imaging, statistical inference

PI
Core/Dual

Berthold Horn

Professor

Vision, computational imaging

E bkph@csail.mit.edu

T 253-5863

RM

Lead

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

Member

Visual Computing Community of Research

Vision, computational imaging

Fern Keniston

Senior Administrative Assistant

Research and Education Support

E fern@csail.mit.edu

T 253-5860

RM 32/ 32-250A/ 391

Member

Clinical Decision-Making Group

Research and Education Support

PI
Core/Dual

John Leonard

Professor

Robotics, navigation/mapping, self-driving cars

E jleonard@csail.mit.edu

T 253-5305

RM

Lead

Marine Robotics Group

Self-Driving Vehicles

Member

Embodied Intelligence Community of Research

Robotics, navigation/mapping, self-driving cars

Ruizhi Liao

Graduate Student

E ruizhi@mit.edu

RM

Member

Monitoring Fetal Health

Medical Vision Group

Quantification of Pulmonary Edema in Chest Radiographs

Razvan Marinescu

Postdoctoral Associate

Postdoctoral Associate working with Polina Golland on neuroimaging.

E razvan@csail.mit.edu

RM 32-D475B

Member

Clinical Neuroimaging

Medical Vision Group

Postdoctoral Associate working with Polina Golland on neuroimaging.

Nalini Singh

Graduate Student

E nmsingh@mit.edu

RM 32-D475B

Member

Monitoring Fetal Health

Medical Vision Group

PI
Core/Dual

Gerald Sussman

Professor

Artificial intelligence, supercomputers

E gjs@csail.mit.edu

T 253-5874

RM 32/ 32-G508/ G514

Lead

The Car Can Explain!

Internet Policy Research Initiative

Member

Cognitive AI Community of Research

Computing & Society Community of Research

Artificial intelligence, supercomputers

PI
Core/Dual

Antonio Torralba

Professor

Vision, graphics, perception, machine learning

E torralba@csail.mit.edu

T 324-0900

RM 32-386G

Lead

Understanding Light via Deep Neural Networks

Understandable Deep Networks

Understanding Food images

Member

Predictive Vision

Where Are They Looking?

Single-Image 3D Interpreter Network

VirtualHome: Representing Activities as Programs

Places Database for Scene Recognition

Semantic Scene Understanding through ADE20K dataset

Crossing the Vision-Language Boundary

Center for Deployable Machine Learning (CDML)

Visual Computing Community of Research

Embodied Intelligence Community of Research

Vision, graphics, perception, machine learning

Yu Wang

Graduate Student

E wangyu9@mit.edu

RM 32-D475A

Member

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

PI
Core/Dual

Daniel Weitzner

Principal Research Scientist

Web policy, cybersecurity, web architecture

E djweitzner@csail.mit.edu

T 253-8036

RM

Lead

Internet Policy Research Initiative

Keys Under Doormats

Computing & Society Community of Research

Member

Data Systems Group

Web policy, cybersecurity, web architecture

14 News Results

point cloud 1

Algorithms & Theory AI & ML Graphics & Vision Big Data Transportation

October 29 '19

Deep learning with point clouds

Research aims to make it easier for self-driving cars, robotics, and other applications to understand the 3D world.

Deep learning with point clouds

Maz

Algorithms & Theory AI & ML Graphics & Vision Health Care

October 02 '19

Better fetal health - by building a map of the placenta

New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.

Better fetal health - by building a map of the placenta

Barbara Liskov 2

Algorithms & Theory AI & ML Computational Biology Computer Architecture Graphics & Vision Human-Computer Interaction Programming Languages & Software Engineering Robotics Security & Cryptography Systems & Networking Cybersecurity Education Energy Entertainment Health Care Manufacturing Transportation Wireless

June 27 '19

CSAIL hosts first-ever TEDxMIT

Speakers — all women — discuss everything from gravitational waves to robot nurses

CSAIL hosts first-ever TEDxMIT

Yunzhu Li 2

AI & ML Graphics & Vision Systems & Networking Health Care Manufacturing

June 18 '19

Teaching artificial intelligence to connect senses like vision and touch

MIT CSAIL system can learn to see by touching and feel by seeing, suggesting future where robots can more easily grasp and recognize objects.

Teaching artificial intelligence to connect senses like vision and touch

CSAIL1

Algorithms & Theory Computer Architecture Big Data Cybersecurity Health Care Internet of Things Manufacturing

January 31 '19

MIT hosts workshop on theoretical foundations of deep learning

Last week MIT’s Institute for Foundations of Data Science (MIFODS) held an interdisciplinary workshop aimed at tackling the underlying theory behind deep learning. Led by MIT professor Aleksander Madry, the event focused on a number of research discussions at the intersection of math, statistics, and theoretical computer science.

MIT hosts workshop on theoretical foundations of deep learning

high res model

Algorithms & Theory Graphics & Vision Systems & Networking Health Care

November 29 '18

Higher-res models for creating structures with complex features

Computer scientists often develop mathematical models to understand how animals move, enabling breakthroughs in designing things like microrobotic wings and artificial bone structures.

Higher-res models for creating structures with complex features

speech & object recognition 1

Algorithms & Theory AI & ML Graphics & Vision Health Care

September 19 '18

Machine-learning system tackles speech and object recognition, all at once

Model learns to pick out objects within an image, using spoken descriptions.

Machine-learning system tackles speech and object recognition, all at once

mingmin

AI & ML Graphics & Vision Health Care

June 12 '18

Artificial intelligence senses people through walls

Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”

Artificial intelligence senses people through walls

virtual home1

Algorithms & Theory AI & ML Graphics & Vision Health Care

May 30 '18

Teaching chores to an artificial agent

Activity simulator could eventually teach robots tasks like making coffee or setting the table.

Teaching chores to an artificial agent

self driving

AI & ML Graphics & Vision Robotics Transportation

May 07 '18

Self-driving cars for country roads

For all the progress made in self-driving technologies, there still aren’t many places where they can actually drive. Companies like Google only test their fleets in major cities where they’ve spent countless hours meticulously labeling the exact 3-D positions of lanes, curbs, off-ramps, and stop signs.

Self-driving cars for country roads

Tim Berners-Lee was honored with the Turing Award for his work inventing the World Wide Web, the first web browser, and "the fundamental protocols and algorithms [that allowed] the web to scale."

Computer Architecture Big Data Cybersecurity Education Energy Entertainment Health Care Internet of Things Wireless

May 02 '18

From Utopia to Dystopia in 29 Short Years

May 2, 2018 - Sir Tim Berners-Lee of MIT gave a Dertouzos Distinguished Lecture titled "From Utopia to Dystopia in 29 Short Years."

From Utopia to Dystopia in 29 Short Years

Professor Berthold Horn and postdoctoral associate Liang Wang

Algorithms & Theory Graphics & Vision Transportation

December 14 '17

Improving traffic - by tailgating less

New CSAIL work shows that traffic would flow faster if drivers kept an equal distance between cars

Improving traffic - by tailgating less

A new system from MIT's Computer Science and Artificial Intelligence Laboratory works by analyzing light at the edge of walls, which is impacted by the reflections of objects around the corner from the camera.

AI & ML Graphics & Vision Transportation

October 09 '17

An algorithm for your blind spot

Light lets us see the things that surround us, but what if we could also use it to see things hidden around corners? It sounds like science fiction, but that’s the idea behind a new algorithm out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) — and its discovery has implications for everything from emergency response to self-driving cars.

An algorithm for your blind spot

System directs camera-equipped drones to maintain framing of an aerial shot.

Algorithms & Theory AI & ML Graphics & Vision Robotics Entertainment Transportation

May 17 '17

Cinematography on the fly

In recent years, a host of Hollywood blockbusters — including “The Fast and the Furious 7,” “Jurassic World,” and “The Wolf of Wall Street” — have included aerial tracking shots provided by drone helicopters outfitted with cameras. Those shots required separate operators for the drones and the cameras, and careful planning to avoid collisions. But a team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and ETH Zurich hope to make drone cinematography more accessible, simple, and reliable.

Cinematography on the fly