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78 Group Results matching all criteria

Research Group

Anyscale Learning for All ALFA

Our vision is data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education.

Una-May O'Reilly

Leads

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Research Areas

Computing & Health

Security & Cryptography

Impact Areas

Big Data

Cybersecurity

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Energy

Health Care

Lead

Una-May O'Reilly

Research Group

Center for Brains, Minds and Machines

Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

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Leads

Tomaso Poggio

Research Areas

Computing & Health

Computational Biology

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Health Care

Lead

Tomaso Poggio

Research Group

Clinical Decision-Making Group

We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

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Leads

Peter Szolovits

Research Areas

Computing & Health

Computational Biology

Impact Areas

Cybersecurity

Health Care

Manufacturing

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Peter Szolovits

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Peter Szolovits

Research Group

Clinical Machine Learning Group

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David Sontag

Leads

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Research Areas

Computing & Health

Impact Areas

Health Care

Lead

David Sontag

Research Group

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We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

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Computational Biology

Impact Areas

Big Data

Health Care

Lead

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Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

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Research Areas

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Computational Biology

Impact Areas

Health Care

Lead

Joshua Tenenbaum

Research Group

Computational Fabrication Group

Our research centers on digital manufacturing, 3D printing and computer graphics, as well as computational photography and displays, and virtual humans and robotics.

Wojciech Matusik

Leads

Wojciech Matusik

Research Areas

Robotics

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Manufacturing

Lead

Wojciech Matusik

Research Group

Computational Genomics Group

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Computational Biology

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Health Care

Lead

Dave Gifford

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We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

Aude Oliva

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Computational Biology

Impact Areas

Big Data

Education

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Lead

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Aude Oliva

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Computer Graphics Group

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Leads

Fredo Durand

William Freeman

Wojciech Matusik

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Entertainment

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William Freeman

Wojciech Matusik

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Research Group

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We use machine learning and computer vision to improve outcomes in medicine, finance, and sports

John Guttag

Leads

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Research Areas

Computing & Health

Impact Areas

Big Data

Health Care

Lead

John Guttag

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Research Group

Decentralized Information Group

Lalana Kagal

Tim Berners-Lee

Leads

Lalana Kagal

Tim Berners-Lee

Research Areas

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Computing & Health

Programming Languages & Software Engineering

Systems & Networking

Impact Areas

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Cybersecurity

Health Care

Internet of Things

Lead

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Tim Berners-Lee

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Distributed Robotics Laboratory

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Leads

Daniela Rus

Research Areas

Computing & Health

Robotics

Impact Areas

Big Data

Cybersecurity

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Manufacturing

Transportation

Lead

Daniela Rus

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Daniela Rus

Research Group

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The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.

Leads

Research Areas

Computing & Health

Impact Areas

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Research Group

Haystack Group

We are an interdisciplinary group of researchers blending approaches from human-computer interaction, social computing, databases, information management, and databases.

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David Karger

Leads

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Research Areas

Algorithms & Theory

Human-Computer Interaction

Programming Languages & Software Engineering

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Education

Internet of Things

Lead

David Karger

Lea Verou

David Karger

Research Group

HCI Engineering Group

We work at the intersection of human computer interaction and personal fabrication tools.

Stefanie Mueller

Leads

Stefanie Mueller

Research Areas

Human-Computer Interaction

Impact Areas

Education

Energy

Entertainment

Health Care

Internet of Things

Manufacturing

Lead

Stefanie Mueller

Research Group

Human-Computer Interaction

HCI faculty and researchers in CSAIL.

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Leads

Randall Davis

Fredo Durand

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David Karger

Rob Miller

Stefanie Mueller

Research Areas

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Lead

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Fredo Durand

Daniel Jackson

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Rob Miller

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Research Group

Imagination, Computation, and Expression Laboratory (ICE Lab)

We develop computing systems for creative expression, cultural analysis, and social change.

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Leads

D. Fox Harrell

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Computing & Health

Human-Computer Interaction

Impact Areas

Education

Entertainment

Manufacturing

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The Interactive Robotics Group aims to imagine the future of work by designing collaborative robot teammates that enhance human capability.

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Research Areas

Robotics

Impact Areas

Health Care

Manufacturing

Transportation

Lead

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Julie Shah

Research Group

Infolab

We investigate language in different contexts: from how it is learned, to how it is grounded in visual perception, all the way to how machines can readily interact with humans.

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Research Areas

Computing & Health

Human-Computer Interaction

Impact Areas

Big Data

Education

Entertainment

Internet of Things

Lead

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Boris Katz

Research Group

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We conduct interdisciplinary research aimed at discovering the principles underlying the design of artificially intelligent robots.

Leslie Kaelbling

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Leads

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Computing & Health

Robotics

Impact Areas

Manufacturing

Transportation

Lead

Leslie Kaelbling

Tomas Lozano-Perez

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Research Group

Machine Learning

We work on a variety of topics spanning theoretical foundations, algorithms, and applications.

Leads

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Leslie Kaelbling

David Sontag

Research Areas

Computing & Health

Impact Areas

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Education

Health Care

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Lead

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Tommi Jaakkola

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Leslie Kaelbling

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Research Group

Marine Robotics Group

Our projects are centered around the problems of navigation and mapping for autonomous mobile robots operating in underwater and terrestrial environments.

John Leonard

Leads

John Leonard

Research Areas

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Impact Areas

Energy

Transportation

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John Leonard

Research Group

Medical Vision Group

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

Polina Golland

Leads

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Research Areas

Computing & Health

Computational Biology

Graphics & Vision

Impact Areas

Health Care

Lead

Polina Golland

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Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

Vision Group

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

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Leads

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Research Areas

Graphics & Vision

Robotics

Systems & Networking

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Transportation

Berthold Horn

Project

Computational Bounce Flash for Indoor Portraits

Computer Graphics Group

To achieve high-quality photo lighting in challenging environments, our prototype camera dynamically reconstructs a 3D scene model and directs a motor-controlled flash head at nearby walls and ceilings for soft indirect illumination.

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Lukas Murmann

Research Areas

Graphics & Vision

Impact Areas

Entertainment

Lukas Murmann

Project

Predictive Vision

Vision Group

We've developed an algorithm to anticipate visual events that may happen in the future

Leads

Research Areas

Graphics & Vision

Project

Neural Physics Engine

Computational Cognitive Science Group

Cognitive AI Community of Research

We've developed an object-based neural network architecture for learning predictive models of intuitive physics that extrapolates to variable object count and variable scene configurations with only spatially and temporally local computation.

Leads

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Spoken Language Systems Group

Our goal is to build an AI-powered personal digital nutritionist that enables users to track the food they eat simply by speaking or typing natural English phrases.

Leads

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Computing & Health

Impact Areas

Health Care

Project

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Model-Based Embedded and Robotics Systems Group

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This project focuses on holistic decision making for network optimization.

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Leads

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Howard Shrobe

Research Areas

Systems & Networking

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Howard Shrobe

Project

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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

Education

Health Care

Project

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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

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Transportation

Project

Aspect-Augmented Adversarial Networks for Domain Adaptation

Natural Language Processing Group

Vertical AI Community of Research

We propose a novel aspect-augmented adversarial network for cross-aspect and cross-domain adaptation tasks. The effectiveness of our approach suggests the potential application of adversarial networks to a broader range of NLP tasks for improved representation learning, such as machine translation and language generation.

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Tommi Jaakkola

Leads

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Tommi Jaakkola

Research Areas

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Computing & Health

Systems & Networking

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SoundNet

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This project focuses on learning sound representations from unlabeled video

Leads

Research Areas

Graphics & Vision

Project

Where Are They Looking?

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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

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Education

Entertainment

Health Care

Project

Predictive Modeling for Database Elasticity

Data Systems Group

This project shows that we can successfully use predictive modeling to enable a database cluster to elastically expand or contract in anticipation of changes in the workload.

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Michael Stonebraker

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Computation and Biology

Theory of Computation Community of Research

We developed a new algorithm to generate compact sequence sets covering all k-mers using joker characters.

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Computational Biology

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Finite Approximations of Infinite Models

Machine Learning

Many modern Bayesian models involve infinitely many latent parameters. We seek to develop finite approximations which are more tractable for use in practice, and characterize their incurred error.

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Project

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Machine Learning

Most popular, tractable statistical models for network data inherently assume the network is dense, although this is rarely true in practice; we propose a new modeling framework that correctly captures sparse networks.

Leads

Project

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Model-Based Embedded and Robotics Systems Group

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Our goal is to create an online risk-aware planner for vehicle maneuvers that can make driving safer and less stressful through a “parallel” autonomous system that assists the driver by watching for risky situations, and by helping the driver take proactive, compensating actions before they become crises.

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Research Areas

Robotics

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Transportation

Brian Williams

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Noria: a new data-flow system for web applications

Parallel and Distributed Operating Systems

We're developing a flexible, high-performance storage architecture for database-backed applications, based on a dynamic set of queries specified by the developer which Soup automatically optimizes.

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Jon Gjengset

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Big Data

Jon Gjengset

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Project

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Vision Group

Cognitive AI Community of Research

We aim to understand 3D object structure from a single image. We propose an end-to-end framework which sequentially estimates 2D keypoint heatmaps and 3D object structure, by training it on both real 2D-annotated images and synthetic 3D data and by integrating a 3D-to-2D projection layer.

Leads

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Computing & Health

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Impact Areas

Manufacturing

Project

Printable Hydraulics

Distributed Robotics Laboratory

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Leads

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Impact Areas

Energy

Manufacturing

Transportation

Youbin Kim

Project

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Theory of Computation Community of Research

We use tools from quantum physics to prove new results in classical complexity.

Leads

Research Areas

Algorithms & Theory

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Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

Vision Group

In our work we developed a model that is able to synthesize many probable future frames with just a single image as input.

Leads

Research Areas

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Graphics & Vision

Project

Solid: Social Linked Data

Decentralized Information Group

Cognitive AI Community of Research

Computing & Society Community of Research

Solid aims to radically change the way Web applications work today, resulting in true data ownership as well as improved privacy.

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Lalana Kagal

Leads

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Research Areas

Programming Languages & Software Engineering

Systems & Networking

Impact Areas

Cybersecurity

Health Care

Internet of Things

网络加速器

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独立自主！长征五号火箭担当中国火星探测器7月发射_科技 ...:2021-5-25 · 2021年，我国的火星探测伅务正式批准立项，计划在“十三五”规划收官之年，也就是2021年，首次独立自主开展火星探测。据航天科技集团官方消息，当前，我国正在按计划推进“天问一号”火星探测这一重大工程，今年7月，长征五号运载火箭将会发射火星探测器。

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阴阳师高效率玩法心得分享式神快速升级升星攻略 ...-华龙网:2021-12-14 · 阴阳师高效率玩法心得分享，式神快速升级升星攻略，本期小编给大家带来高效率玩法，教你如何在最短的时间内把握游戏节奏，成为大腿。输出式 ...

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Leads

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Research Areas

Systems & Networking

Impact Areas

Big Data

Yi Lu

Project

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Human-Computer Interaction Community of Research

Theory of Computation Community of Research

We build tools to allow a community of people to collectively summarize large discussions online and manage knowledge embedded within these discussions.

David Karger

Leads

David Karger

Research Areas

Human-Computer Interaction

Impact Areas

Education

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1327 People Results matching all criteria

Zachary Abel

Temporary Lecturer

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PI
Core/Dual

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Professor

Programming, privacy, App Inventor

E hal@mit.edu

T 253-5856

RM 32-G516

Lead

Internet Policy Research Initiative

MIT App Inventor

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Computing & Society Community of Research

Programming, privacy, App Inventor

Maleen Abeydeera

Graduate Student

E maleen@csail.mit.edu

RM 网络加速器

Member

Pervasive Parallelism with the Swarm Architecture

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E maddyabr@MIT.EDU

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E abreua@mit.edu

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Program Manager, Toyota-CSAIL Joint Research Center

E murad@mit.edu

T sub免费网络加速器

网络加速器

Graduate Student

medical vision

E abulnaga@mit.edu

RM 真正免费的网络加速器

Member

Monitoring Fetal Health

Medical Vision Group

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

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UROP

E sacevedo@mit.edu

Sara Achour

Graduate Student

E sachour@mit.edu

RM 32-G730

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Super UROP

E kkacquah@mit.edu

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UROP

E samacqua@mit.edu

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E addanki@mit.edu

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Julius Adebayo

Graduate Student

E juliusad@MIT.EDU

RM 32-G528B

PI
Core/Dual

Ted Adelson

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Vision, touch sensing, robotics

E adelson@csail.mit.edu

T 253-0645

RM 32-310

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Vision Group

Blood Pressure Imager

Member

Embodied Intelligence Community of Research

Visual Computing Community of Research

Vision, touch sensing, robotics

Ifeoluwapo Ademolu-Odeneye

UROP

E ifeoluwa@mit.edu

Aviv Adler

Graduate Student

E adlera@mit.edu

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Research Affiliate

E iman@csail.mit.edu

Anant Agarwal

Professor

Systems, architecture, online learning, edX

E agarwal@edx.org

T 253-1448

Systems, architecture, online learning, edX

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Graduate Student

E rajisme@mit.edu

RM 32-G416

Monica Agrawal

Graduate Student

E magrawal@mit.edu

RM 32-G424

PI
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Pulkit Agrawal

Assistant Professor

Reinforcement Learning, Computer Vision, Learning for Control

E PULKITAG@CSAIL.MIT.EDU

RM 32-386D

Member

Embodied Intelligence Community of Research

Reinforcement Learning, Computer Vision, Learning for Control

Leandro Agudelo

Research Scientist

Computational Biology, Integrative Systems Biology

E lagudelo@csail.mit.edu

Computational Biology, Integrative Systems Biology

Peter Ahrens

Graduate Student

E pahrens@mit.edu

RM 32-G604

Amanda Ahteck

UROP

E asahteck@mit.edu

1574 News Results matching all criteria

The system either queries the expert to diagnose the patient based on their chest X-ray and medical records, or makes the diagnosis itself by solely looking at their X-ray

July 31 '20

AI systems that work w/doctors and know when to step in

CSAIL's machine learning system can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

AI systems that work w/doctors and know when to step in

Algorithms & Theory Systems & Networking

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Recent advances give theoretical insight into why deep learning networks are successful.

Looking into the black box

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July 29 '20

Algorithm finds hidden connections between paintings at the Met

A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.

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July 27 '20

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Future animal testing will show whether the CSAIL team’s approach could be used for human testing of a vaccine.

Potential COVID-19 vaccines get a boost from machine learning

July 20 '20

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New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.

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July 20 '20

Rewriting history to show the danger of deepfakes

Graphics & Vision Programming Languages & Software Engineering Systems & Networking

July 17 '20

江苏一网吧为吸引学生上网安装翻墙软伀被查处_央广网 - cnr.cn:2021-12-9 · 网络安监员反电信诈骗:3年几乎没睡过几次好觉,数万元被骗、假冒淘宝客服、接警地浙江湖州、受害人是新手卖家，几条线索摆在眼前。诈骗过程很 ...

Wu receives ACM Doctoral Dissertation Honorable Mention award

July 16 '20

The computational limits of deep learning

Researchers warn that deep learning is reaching its computational limits.

The computational limits of deep learning

Robotics Manufacturing

July 13 '20

Letting robots manipulate cables

Robotic gripper with soft sensitive fingers developed at MIT CSAIL can handle cables with unprecedented dexterity.

企业如何重启2021？_科技_北方热点:2021-4-8 · 2021年，如果你问很多企业家一个问题，“面对未来，你准备好了吗？”他伀的回答一定是偏积极乐观的，因为最为困难的2021年已经度过，且经过了史上最残酷的国际贸易争端，多数企业都做好了应对未来无数种不利冲击的准备。但2021年的今天，你再问这些企业家同样的问题，他伀眼神中大多会充满 ...

July 09 '20

Empowering kids to address Covid-19 through coding

MIT App Inventor Challenge allows children to create apps that tackle the coronavirus pandemic.

Empowering kids to address Covid-19 through coding

Computing & Health Robotics

June 30 '20

Lozano-Perez wins 2022 IEEE Robotics and Automation Award

This week it was announced that MIT professor and CSAIL principal investigator Tomas Lozano-Perez has been awarded the 2022 IEEE Robotics and Automation Award for his “foundational contributions to robot motion planning and visionary leadership in the field.”

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Computing & Health Health Care

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CSAIL robot disinfects The Greater Boston Food Bank to fight Covid-19

Using UVC light, the team's system can disinfect a warehouse floor in half an hour - and could one day be used in grocery stores, schools and other spaces

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June 18 '20

Learning the ropes and throwing lifelines

PhD student Geeticka Chauhan draws on her experiences as an international student to strengthen the bonds of her MIT community.

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June 18 '20

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Have you ever looked at a painting by Monet or Picasso and wondered, “how’d they do that?” With a little help from artificial intelligence, that’s now possible.

Using AI to recreate how artists painted their masterpieces

Researchers say their system could be employed in retirement homes to track changes in people’s vital signs to detect outbreaks of infectious diseases like COVID-19.

June 16 '20

Home-health device uses wireless signals to identify a person it’s seen before

Researchers say their system could be employed in retirement homes to track changes in people’s vital signs to detect outbreaks of infectious diseases like COVID-19.

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Entertainment

June 15 '20

Jonathan Zong wins third place for 2022 Harold and Arlene Schnitzer Prize in the Visual Arts

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June 09 '20

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On June 9, 2022 Prof Daron Acemoglu presented a talk in the Hot Topics in Computing series entitled: A Multi-Risk SIR Model with Optimally Targeted Lockdown

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown

June 07 '20

How to protect your vote

MIT and University of Michigan researchers have released a report on the security of OmniBallot, an Internet voting and ballot delivery system produced by Democracy Live.

How to protect your vote

June 04 '20

Science paper: if transistors can’t get smaller, then software developers have to get smarter

Algorithms & Theory Robotics

June 02 '20

New glove lets you incorporate real-life objects into virtual worlds

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June 01 '20

Giving soft robots senses

In a pair of papers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), two teams enable better sense and perception for soft robotic grippers.

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May 19 '20

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On Tuesday, May 19 a panel discussion among Prof.'s Ron Rivest, Ramesh Raskar, Julie Shah and Daniel Weitzner was held on the topic of contact tracing at MIT, moderated by Daniela Rus.

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May 18 '20

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New tool lets non-coders use APIs to navigate sites like Etsy and Yelp

Searching websites the way you want

May 14 '20

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Yogo makes it much easier to make systematic changes in code - and can do so in multiple programming languages.

Working towards smarter automation for fixing code

78 Group Results

Research Group

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The challenge that motivates the ANA group is to foster a healthy future for the Internet. The interplay of private sector investment, public sector regulation and public interest advocacy, as well as the global diversity in drivers and aspirations, makes for an uncertain future.

David Clark

Karen Sollins

Leads

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Karen Sollins

Research Areas

Security & Cryptography

Systems & Networking

Impact Areas

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Lead

David Clark

Karen Sollins

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Research Group

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We devise new mathematical tools to tackle the increasing difficulty and importance of problems we pose to computers.

Leads

Costis Daskalakis

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David Karger

Jonathan Kelner

Tom Leighton

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Ronitt Rubinfeld

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Algorithms & Theory

Impact Areas

Big Data

Cybersecurity

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Wireless

Lead

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Erik Demaine

Michael Goemans

Piotr Indyk

David Karger

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Aleksander Madry

Ankur Moitra

Ronitt Rubinfeld

Nir Shavit

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Virginia Vassilevska Williams

Research Group

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Our vision is data-driven machine learning systems that advance the quality of healthcare, the understanding of cyber arms races and the delivery of online education.

Una-May O'Reilly

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Una-May O'Reilly

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Computing & Health

Security & Cryptography

Impact Areas

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Cybersecurity

Education

Energy

Health Care

Lead

Una-May O'Reilly

Research Group

Applied Computing Group

We design software for high performance computing, develop algorithms for numerical linear algebra, and research random matrix theory and its applications.

Alan Edelman

Leads

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Algorithms & Theory

Impact Areas

Wireless

Lead

Alan Edelman

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Community of Research

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This CoR brings together researchers at CSAIL working across a broad swath of application domains. Within these lie novel and challenging machine learning problems serving science, social science and computer science.

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Computing & Health

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Programming Languages & Software Engineering

Impact Areas

Cybersecurity

Education

Health Care

Lead

Una-May O'Reilly

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Broderick Lab

We work in the areas of statistics and machine learning.

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Leads

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Research Areas

Algorithms & Theory

Computing & Health

Impact Areas

Big Data

Lead

Tamara Broderick

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Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

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Education

Health Care

Lead

Tomaso Poggio

Research Center

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The MIT Center for Deployable Machine Learning (CDML) works towards creating AI systems that are robust, reliable and safe for real-world deployment.

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Leads

Aleksander Madry

Research Areas

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Computing & Health

Graphics & Vision

Human-Computer Interaction

Programming Languages & Software Engineering

Robotics

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Impact Areas

Big Data

Cybersecurity

Lead

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Research Group

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We focus on furthering the application of technology and artificial intelligence in medicine and health-care.

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Leads

Peter Szolovits

Research Areas

Computing & Health

Computational Biology

Impact Areas

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Health Care

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Peter Szolovits

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Research Group

Clinical Machine Learning Group

Our group is interested in using machine learning and artificial intelligence to transform health care.

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Leads

David Sontag

Research Areas

Computing & Health

Impact Areas

Health Care

Lead

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David Sontag

Community of Research

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This CoR aims to develop AI technology that synthesizes symbolic reasoning, probabilistic reasoning for dealing with uncertainty in the world, and statistical methods for extracting and exploiting regularities in the world, into an integrated picture of intelligence that is informed by computational insights and by cognitive science.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Human-Computer Interaction

Robotics

Security & Cryptography

Systems & Networking

Impact Areas

Cybersecurity

Education

Lead

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Howard Shrobe

Research Group

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We focus on finding novel approaches to improve the performance of modern computer systems without unduly increasing the complexity faced by application developers, compiler writers, or computer architects.

Saman Amarasinghe

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Saman Amarasinghe

Research Areas

Computer Architecture

Programming Languages & Software Engineering

Impact Areas

Wireless

Lead

Saman Amarasinghe

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Research Group

Complexity Theory Group

Our interests span quantum complexity theory, barriers to solving P versus NP, theoretical computer science with a focus on probabilistically checkable proofs (PCP), pseudo-randomness, coding theory, and algorithms.

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Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

Ryan Williams

Virginia Vassilevska Williams

Research Areas

Algorithms & Theory

Impact Areas

Big Data

Cybersecurity

Lead

Shafi Goldwasser

Ronitt Rubinfeld

Michael Sipser

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Virginia Vassilevska Williams

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Research Group

Computation and Biology

Our lab focuses on designing algorithms to gain biological insights from advances in automated data collection and the subsequent large data sets drawn from them.

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Leads

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Algorithms & Theory

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Impact Areas

Big Data

Health Care

Lead

Bonnie Berger

Research Group

Computation Structures Group

Our mission is fostering the creation and development of high-performance, reliable and secure computing systems that are easy to interact with.

+23

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Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

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Research Areas

Computer Architecture

Programming Languages & Software Engineering

Security & Cryptography

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Impact Areas

Cybersecurity

Wireless

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

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+23

Research Group

Computational Biology Group

We seek to understand the mechanistic basis of human disease, using a combination of computational and experimental techniques.

Manolis Kellis

Leads

Manolis Kellis

Research Areas

Computational Biology

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Big Data

Health Care

Lead

Manolis Kellis

Research Group

Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

Leads

Joshua Tenenbaum

Research Areas

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Computational Biology

Impact Areas

Health Care

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Joshua Tenenbaum

Research Group

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Our group’s goal is to create, based on such microscopic connectivity and functional data, new mathematical models explaining how neural tissue computes.

Nir Shavit

Leads

Nir Shavit

Research Areas

Algorithms & Theory

Computational Biology

Impact Areas

Big Data

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Research Group

Computational Fabrication Group

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Wojciech Matusik

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Wojciech Matusik

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Robotics

Impact Areas

Manufacturing

Lead

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Research Group

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We develop new machine learning techniques and algorithms to model the transcriptional regulatory networks that control gene expression programs in living cells.

Dave Gifford

Leads

Dave Gifford

Research Areas

Computing & Health

Computational Biology

Impact Areas

Health Care

Lead

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Dave Gifford

Research Group

Computational Perception & Cognition

We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.

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Leads

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Research Areas

Computing & Health

Computational Biology

Impact Areas

Big Data

Education

Health Care

Lead

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Aude Oliva

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Computer Graphics Group

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Wojciech Matusik

Justin Solomon

Research Areas

Graphics & Vision

Impact Areas

Entertainment

Lead

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Research Group

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We develop techniques and tools that exploit automated reasoning and large amounts of computing power to tackle challenging programming problems

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Leads

Armando Solar-Lezama

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Programming Languages & Software Engineering

Impact Areas

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Lead

Armando Solar-Lezama

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Community of Research

Computing & Society Community of Research

This community is interested in understanding and affecting the interaction between computing systems and society through engineering, computer science and public policy research, education, and public engagement.

Daniel Weitzner

Leads

Daniel Weitzner

Research Areas

Algorithms & Theory

Computing & Health

Human-Computer Interaction

Security & Cryptography

Systems & Networking

Impact Areas

Big Data

Cybersecurity

Health Care

Internet of Things

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Wireless

Lead

Daniel Weitzner

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301 Project Results

Project

3D Generative Adversarial Networks

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Cognitive AI Community of Research

We study the problem of 3D object generation. We propose a novel framework, 3D Generative Adversarial Network (3D-GAN), leveraging recent advances in volumetric convolutional networks and generative adversarial nets.

Leads

Research Areas

Computing & Health

Graphics & Vision

Impact Areas

Manufacturing

Project

3D-Printed Organic Solar Cells

Computational Fabrication Group

Using our inkjet printer system, the goal of this project is to produce a light sensor / solar cell that is composed entirely of 3D printed materials.

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Leads

James Minor

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Robotics

Impact Areas

Manufacturing

James Minor

Project

[Inactive] T-1000: A Thousand-Core Coherent Shared Memory System

Computation Structures Group

(This project is no longer active.) The T-1000, a prototype system of a thousand realistic processors embedded throughout an ensemble of interconnected FPGAs, seeks to demonstrate the scalability of timestamp-based cache coherence protocols on distributed shared memory systems.

Quan Nguyen

Leads

Quan Nguyen

Research Areas

Computer Architecture

Systems & Networking

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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

Education

Health Care

Project

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Computation Structures Group

We design a new all-to-all broadcasts scheme with significantly less communication cost using aggregate signatures.

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Security & Cryptography

Alin Tomescu

Jun Wan

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A Simplified and Extensible Cilk Runtime for Research

Charles E. Leiserson

Tao Schardl

Leads

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Tao Schardl

Research Areas

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Charles E. Leiserson

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Project

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Machine Learning

We aim to develop a systematic framework for robots to build models of the world and to use these to make effective and safe choices of actions to take in complex scenarios.

Leads

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Research Areas

Algorithms & Theory

Computing & Health

Human-Computer Interaction

Robotics

Impact Areas

Big Data

Education

Entertainment

Project

AdaptDB: Adaptive Partitioning for Distributed Joins

Data Systems Group

Yi Lu

Leads

Yi Lu

Research Areas

Systems & Networking

Impact Areas

Big Data

Yi Lu

Project

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Anyscale Learning for All ALFA

Applied Machine Learning Community of Research

Our goal is to understand the nature of cyber security arms races between malicious and bonafide parties. Our vision is autonomous cyber defenses that anticipate and take measures against counter attacks.

Una-May O'Reilly

Leads

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Computing & Health

Security & Cryptography

Impact Areas

Cybersecurity

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Aggregate Congestion Control

Networks and Mobile Systems

Develop a method for sending persistently backlogged traffic on the Internet while adapting to link conditions dynamically.

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Leads

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Impact Areas

Transportation

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Francis Cangialosi

Project

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Imagination, Computation, and Expression Laboratory (ICE Lab)

Human-Computer Interaction Community of Research

AIRvatar is a system that telemetrically collects and analyzes fine-grained data on users’ virtual identities and the process used to create them.

D. Fox Harrell

Leads

D. Fox Harrell

Research Areas

Graphics & Vision

Human-Computer Interaction

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Education

Entertainment

D. Fox Harrell

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Algebraic Techniques for Algorithm Design

Theory of Computation Community of Research

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Virginia Vassilevska Williams

Leads

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Research Areas

Algorithms & Theory

Virginia Vassilevska Williams

Project

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Supertech Research Group

Theory of Computation Community of Research

The project concerns algorithmic solutions for writing fast codes.

Leads

Research Areas

Algorithms & Theory

Impact Areas

Big Data

Wireless

Project

Alloy

Software Design Group

Human-Computer Interaction Community of Research

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Leads

Daniel Jackson

Research Areas

Human-Computer Interaction

Programming Languages & Software Engineering

Security & Cryptography

Impact Areas

Big Data

Cybersecurity

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Transportation

Wireless

Daniel Jackson

Project

Amoeba: A shape changing storage system for big data

Data Systems Group

Amoeba is a distributed storage system that efficiently supports ad-hoc and exploratory analytics using adaptive data partitioning

Alekh Jindal

Anil Shanbhag

Leads

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Systems & Networking

Alekh Jindal

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Theory of Distributed Systems Group

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Leads

Nancy Lynch

Research Areas

Algorithms & Theory

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Project

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Software Design Group

Computer-Aided Programming

南京易安联 SSL VPN 远程连接系统:欢迎使用远程访问系统软伀用户名密码是否要保存用户名登录

Human-Computer Interaction Community of Research

Self-driving cars are likely to be safer, on average, than human-driven cars. But they may fail in new and catastrophic ways that a human driver could prevent. This project is designing a new architecture for a highly dependable self-driving car.

Daniel Jackson

Armando Solar-Lezama

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Daniel Jackson

Armando Solar-Lezama

Research Areas

Computing & Health

Human-Computer Interaction

Programming Languages & Software Engineering

Robotics

Systems & Networking

Impact Areas

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Daniel Jackson

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Analyzing Player Profile Data

Developing new methods for analyzing large quantities of player profile data, such as hundreds of thousands of profile images or chat logs.

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Leads

D. Fox Harrell

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Research Areas

Graphics & Vision

D. Fox Harrell

Peter Mawhorter

Project

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Interactive Robotics Group

Robot scheduling via learning from demonstration for tasks in medicine and more

Leads

Research Areas

Computing & Health

Robotics

Impact Areas

Health Care

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Project

Approximate String Joins with Abbreviations

Data Systems Group

We propose efficient and effective algorithms to perform approximate string joins with abbreviations in database systems.

Wenbo Tao

Leads

Wenbo Tao

Research Areas

Systems & Networking

Wenbo Tao

Project

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Theory of Computation Community of Research

There is a family of approximation algorithms for computing the diameter of an undirected graph that give a time/accuracy trade-off and our goal is to extend these results to directed graphs.

Virginia Vassilevska Williams

Leads

Virginia Vassilevska Williams

Research Areas

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Virginia Vassilevska Williams

Project

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Spoken Language Systems Group

The Arabic language is spoken by over one billion people around the world. Arabic presents a variety of challenges for speech and language processing technologies. In our group, we have several research topics examining Arabic, including dialect identification, speech recognition, machine translation, and language processing.

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Mitra Mohtarami

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Yonatan Belinkov

Mitra Mohtarami

Research Areas

Computing & Health

Human-Computer Interaction

Yonatan Belinkov

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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.

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Research Areas

Graphics & Vision

Impact Areas

Transportation

Project

Cyber regulators deny rumors they approved VPN …:China's cyber regulators have denied they have given a company green light to sell VPN services in the nation, stating it was Cyber regulators deny rumors they approved VPN service Global Times Published: 2021-07-10 15:29:38

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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.

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Howard Shrobe

Brian Williams

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Zhutian Yang

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Computer Architecture

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Robotics

Impact Areas

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Transportation

Wireless

1327 People Results

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Temporary Lecturer

E zabel@mit.edu

PI
Core/Dual

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Professor

E 网络加速器

T 免费全球加速器

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手机上这么好用的功能你用过吗？ - huanqiu.com:2021-9-30 · 十几年前，还是功能机的时企，相信很多人都会觉得用手机拍照、听歌伃及上网都是很新奇的事情。然而，现在的手机拥有了越来越多新奇有趣的 ...

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Member

Computing & Society Community of Research

齐鲁晚报:2021-4-18 · 《齐鲁晚报》（电子版）的一切内容(包括但不限于文字、图片、PDF、图表、标志、标识、商标、版面设计、专栏目录与名称、内容分类标准伃及为读者提供的伅何信息)仅供齐鲁晚报的报、网、端、微等载体读者阅读、学习研究使用，未经本单位书面授权，伅何单位及个人不得将《齐鲁晚报》（电子 ...

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Graduate Student

E maleen@csail.mit.edu

RM 32-G886

Member

Pervasive Parallelism with the Swarm Architecture

Madeline Abrahams

Super UROP

E maddyabr@MIT.EDU

Alan Abreu

UROP

E abreua@mit.edu

Murad Abu-Khalaf

Program Manager, Toyota-CSAIL Joint Research Center

E murad@mit.edu

T 网络加速器

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Graduate Student

medical vision

E abulnaga@mit.edu

RM 32-D474

Member

Monitoring Fetal Health

Medical Vision Group

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

medical vision

Steven Acevedo Colon

UROP

E sacevedo@mit.edu

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Graduate Student

E sachour@mit.edu

RM 网络加速器

Kenneth Acquah

Super UROP

E kkacquah@mit.edu

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UROP

E 狸猫网络加速器免费

Ravichandra Addanki

Graduate Student

E addanki@mit.edu

RM 32-G918

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E juliusad@MIT.EDU

RM 32-G528B

PI
Core/Dual

Ted Adelson

Professor

E 真正免费的网络加速器

T 253-0645

RM 32-310

Lead

Vision Group

Blood Pressure Imager

Member

Embodied Intelligence Community of Research

Visual Computing Community of Research

Vision, touch sensing, robotics

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UROP

E ifeoluwa@mit.edu

Aviv Adler

Graduate Student

E adlera@mit.edu

Iman Aganj

Research Affiliate

E iman@csail.mit.edu

Anant Agarwal

Professor

Systems, architecture, online learning, edX

E agarwal@edx.org

T 253-1448

Systems, architecture, online learning, edX

Raj Agrawal

Graduate Student

E rajisme@mit.edu

RM 32-G416

Monica Agrawal

Graduate Student

E magrawal@mit.edu

RM 32-G424

PI
Core/Dual

Pulkit Agrawal

Assistant Professor

Reinforcement Learning, Computer Vision, Learning for Control

E PULKITAG@CSAIL.MIT.EDU

RM 32-386D

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Embodied Intelligence Community of Research

Reinforcement Learning, Computer Vision, Learning for Control

Leandro Agudelo

Research Scientist

Computational Biology, Integrative Systems Biology

E lagudelo@csail.mit.edu

Computational Biology, Integrative Systems Biology

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Graduate Student

E sub免费网络加速器

RM 32-G604

Amanda Ahteck

UROP

E asahteck@mit.edu

1574 News Results

July 31 '20

AI systems that work w/doctors and know when to step in

CSAIL's machine learning system can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

AI systems that work w/doctors and know when to step in

Algorithms & Theory Systems & Networking

July 29 '20

Looking into the black box

Recent advances give theoretical insight into why deep learning networks are successful.

Looking into the black box

Algorithms & Theory Entertainment

July 29 '20

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A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.

Algorithm finds hidden connections between paintings at the Met

July 27 '20

东北网2021年06月25日新闻汇总:苏亚雷斯成免费广告红人咬人段子遭广告商恶搞 2021-06-25 11:00 [1029][ 东北网体育 ] 意大利重压之下太不冷静主帅抱怨：比赛非常荒唐 2021-06-25 11:00

Future animal testing will show whether the CSAIL team’s approach could be used for human testing of a vaccine.

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July 20 '20

Better simulation meshes well for design software

New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.

vpn被封翻墙党该何去何从？App Store连接不上如何解决？(图 ...:2021-1-29 · 前几天，据《环球时报》英文网报道中国已经开始屏蔽外国VPN服务，此消息也引起了国内“翻墙党”的一片震动。日前，工信部通信发展司司长闻库在接受采访时也被问到了这一问题，他回应称在中国发展互联网一定要按照中国的法律法规来进行，一些不良信息应该按照中国法律进行管理。

July 20 '20

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官方客户端下载 - fjtv.net:2021-6-8 · Dashboard

2021年度最受用户欢迎的10款应用值得一试_央广网 - cnr.cn:2021-12-21 · 又快又免费的VPN 许多人对虚拟专用网络连接（VPN）的印象止步于设置繁琐，费用昂贵，事实真的是这样吗？不是的。曾经不被看好的Opera（Windows版本，Mac版本，Linux版本）在2021年抖擞精神，为用户开放了免费且的不限流量的VPN 通道，它不是新 ...

Graphics & Vision Programming Languages & Software Engineering Systems & Networking

July 17 '20

Wu receives ACM Doctoral Dissertation Honorable Mention award

July 16 '20

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Researchers warn that deep learning is reaching its computational limits.

The computational limits of deep learning

Robotics Manufacturing

July 13 '20

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Robotic gripper with soft sensitive fingers developed at MIT CSAIL can handle cables with unprecedented dexterity.

Letting robots manipulate cables

July 09 '20

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MIT App Inventor Challenge allows children to create apps that tackle the coronavirus pandemic.

Empowering kids to address Covid-19 through coding

Computing & Health Robotics

June 30 '20

Lozano-Perez wins 2022 IEEE Robotics and Automation Award

Computing & Health Health Care

June 29 '20

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Using UVC light, the team's system can disinfect a warehouse floor in half an hour - and could one day be used in grocery stores, schools and other spaces

vpn被封翻墙党该何去何从？App Store连接不上如何解决？(图 ...:2021-1-29 · 前几天，据《环球时报》英文网报道中国已经开始屏蔽外国VPN服务，此消息也引起了国内“翻墙党”的一片震动。日前，工信部通信发展司司长闻库在接受采访时也被问到了这一问题，他回应称在中国发展互联网一定要按照中国的法律法规来进行，一些不良信息应该按照中国法律进行管理。

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June 18 '20

Learning the ropes and throwing lifelines

PhD student Geeticka Chauhan draws on her experiences as an international student to strengthen the bonds of her MIT community.

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June 18 '20

Using AI to recreate how artists painted their masterpieces

Have you ever looked at a painting by Monet or Picasso and wondered, “how’d they do that?” With a little help from artificial intelligence, that’s now possible.

传统OpenVPN搭建太麻烦怎么办选用蒲公英Cloud VPN技术 ...:2021-10-19 · 齐鲁晚报济南10月19日讯:中小企业的网管，经常遇到跨地区网络资源需要互相访问的场景，比如远程访问内部网络服务来满足其他分支机构的员工 ...

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独立自主！长征五号火箭担当中国火星探测器7月发射_科技 ...:2021-5-25 · 2021年，我国的火星探测伅务正式批准立项，计划在“十三五”规划收官之年，也就是2021年，首次独立自主开展火星探测。据航天科技集团官方消息，当前，我国正在按计划推进“天问一号”火星探测这一重大工程，今年7月，长征五号运载火箭将会发射火星探测器。

Researchers say their system could be employed in retirement homes to track changes in people’s vital signs to detect outbreaks of infectious diseases like COVID-19.

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Entertainment

June 15 '20

Jonathan Zong wins third place for 2022 Harold and Arlene Schnitzer Prize in the Visual Arts

June 09 '20

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown

On June 9, 2022 Prof Daron Acemoglu presented a talk in the Hot Topics in Computing series entitled: A Multi-Risk SIR Model with Optimally Targeted Lockdown

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown

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How to protect your vote

MIT and University of Michigan researchers have released a report on the security of OmniBallot, an Internet voting and ballot delivery system produced by Democracy Live.

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June 04 '20

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June 02 '20

企业如何重启2021？_科技_北方热点:2021-4-8 · 2021年，如果你问很多企业家一个问题，“面对未来，你准备好了吗？”他伀的回答一定是偏积极乐观的，因为最为困难的2021年已经度过，且经过了史上最残酷的国际贸易争端，多数企业都做好了应对未来无数种不利冲击的准备。但2021年的今天，你再问这些企业家同样的问题，他伀眼神中大多会充满 ...

New glove lets you incorporate real-life objects into virtual worlds

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Algorithms & Theory Robotics Manufacturing

June 01 '20

Giving soft robots senses

In a pair of papers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), two teams enable better sense and perception for soft robotic grippers.

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May 19 '20

Cyber regulators deny rumors they approved VPN …:China's cyber regulators have denied they have given a company green light to sell VPN services in the nation, stating it was Cyber regulators deny rumors they approved VPN service Global Times Published: 2021-07-10 15:29:38

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May 18 '20

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New tool lets non-coders use APIs to navigate sites like Etsy and Yelp

Searching websites the way you want

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Working towards smarter automation for fixing code

Yogo makes it much easier to make systematic changes in code - and can do so in multiple programming languages.