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Impact Areas

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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Tomaso Poggio

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Tomaso Poggio

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Clinical Decision-Making Group

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

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Peter Szolovits

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Peter Szolovits

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Peter Szolovits

Research Group

Clinical Machine Learning Group

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David Sontag

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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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Manolis Kellis

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Computational Cognitive Science Group

We study the computational basis of human learning and inference.

Joshua Tenenbaum

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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

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Lead

Wojciech Matusik

Research Group

Computational Genomics Group

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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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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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Research Areas

网络加速器

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William Freeman

Wojciech Matusik

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

John Guttag

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Lead

John Guttag

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Decentralized Information Group

Lalana Kagal

Tim Berners-Lee

Leads

Lalana Kagal

Tim Berners-Lee

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Lead

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Tim Berners-Lee

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Distributed Robotics Laboratory

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Daniela Rus

Research Areas

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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

Impact Areas

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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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

Impact Areas

Lead

Stefanie Mueller

Research Group

Human-Computer Interaction

HCI faculty and researchers in CSAIL.

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？”他们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，他们眼神中大多会充满 ...

Leads

Randall Davis

Fredo Durand

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David Karger

Rob Miller

Stefanie Mueller

Research Areas

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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D. Fox Harrell

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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

Impact Areas

Lead

网络加速器

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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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Impact Areas

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

Impact Areas

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

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Impact Areas

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

Impact Areas

Energy

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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

Impact Areas

Lead

Polina Golland

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Project

Driver-Friendly Bilateral Control for Suppressing Traffic Instabilities

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

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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

Impact Areas

Lukas Murmann

Project

Predictive Vision

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

Leads

Research Areas

Computational Cognitive Science Group

Project

Neural Physics Engine

Spoken Language Systems Group

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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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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Impact Areas

Model-Based Embedded and Robotics Systems Group

Project

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This project focuses on holistic decision making for network optimization.

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Howard Shrobe

Research Areas

Computational Cognitive Science Group

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Howard Shrobe

Project

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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.

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Research Areas

Impact Areas

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

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Natural Language Processing Group

Project

Aspect-Augmented Adversarial Networks for Domain Adaptation

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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SoundNet

This project focuses on learning sound representations from unlabeled video

Leads

Research 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

网络加速器

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Predictive Modeling for Database Elasticity

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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Leads

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Michael Stonebraker

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Computation and Biology

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

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Model-Based Embedded and Robotics Systems Group

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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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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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东北网2021年07月24日新闻汇总:兰西加速推进现代农业升级创新 2021-07-24 16:05 [366][东北网体育] 孔令辉从未看过马苏的戏曾被女友夸是国乒第一帅哥 2021-07-24 16:04 [367][东北网报料] 黑龙江“农超对接”培训班开锣农民新鲜果蔬直送超市 2021-07-24 16:04 [368][东北网国内]

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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Parallel and Distributed Operating Systems

Brian Williams

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Noria: a new data-flow system for web applications

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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Leads

Jon Gjengset

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Impact Areas

Jon Gjengset

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Project

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 ...

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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Impact Areas

Distributed Robotics Laboratory

Project

Printable Hydraulics

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Leads

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Impact Areas

Energy

Youbin Kim

Project

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

Leads

Research Areas

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Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks

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

Decentralized Information Group

Project

Solid: Social Linked Data

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

Impact Areas

Internet of Things

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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，我国的火星探测任务正式批准立项，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。

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

Impact Areas

Yi Lu

Project

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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

Impact Areas

Internet Policy Research Initiative

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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

Lead

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

Member

Pervasive Parallelism with the Swarm Architecture

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网络加速器

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

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网络加速器

Graduate Student

medical vision

E abulnaga@mit.edu

Member

Monitoring Fetal Health

Medical Vision Group

Geometric Data Processing Group

Geometry and topology for scientific computing and shape analysis

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网络加速器

UROP

E sacevedo@mit.edu

Sara Achour

Graduate Student

E sachour@mit.edu

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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

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

sub免费网络加速器

Blood Pressure Imager

Member

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

Monica Agrawal

Graduate Student

E magrawal@mit.edu

PI
网络加速器

Pulkit Agrawal

Assistant Professor

Reinforcement Learning, Computer Vision, Learning for Control

E PULKITAG@CSAIL.MIT.EDU

RM 32-386D

Member

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

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件被查处_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？”他们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，他们眼神中大多会充满 ...

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 2021 IEEE Robotics and Automation Award

This week it was announced that MIT professor and CSAIL principal investigator Tomas Lozano-Perez has been awarded the 2021 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 2020 Harold and Arlene Schnitzer Prize in the Visual Arts

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June 09 '20

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On June 9, 2020 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

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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

Impact Areas

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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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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Impact Areas

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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Impact Areas

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

Impact Areas

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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Impact Areas

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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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

Impact Areas

Lead

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

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Peter Szolovits

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Impact Areas

Lead

Peter Szolovits

+10

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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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David Sontag

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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

Impact Areas

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

Impact Areas

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

Impact Areas

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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Impact Areas

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.

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Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

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Research Areas

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

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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

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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

Impact Areas

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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

Impact Areas

Lead

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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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Impact Areas

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

Impact Areas

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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Impact Areas

Lead

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Aude Oliva

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Computer Graphics Group

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Wojciech Matusik

Justin Solomon

Research Areas

Impact Areas

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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Impact Areas

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

Impact Areas

Lead

Daniel Weitzner

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301 Project Results

Project

3D Generative Adversarial Networks

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

Impact Areas

Computational Fabrication Group

Project

3D-Printed Organic Solar Cells

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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Impact Areas

Computation Structures Group

James Minor

Project

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

(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

Computational Cognitive Science Group

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Project

A Counterfactual Simulation Model of Causal Judgment

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

Impact Areas

Computation Structures Group

Project

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

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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

打工信部和公安部旗号卖VPN 这家公司胆子有点大_新闻频道 ...:2021-7-8 · 打着工信部和公安部的旗号卖VPN，这家公司胆子有点大.6月30日， “著名记者冯诗林”还在新媒体平台“北京时间”上发布过一篇题为《VPN应用7月1日 ...

Charles E. Leiserson

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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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Impact Areas

Project

AdaptDB: Adaptive Partitioning for Distributed Joins

Yi Lu

Leads

Yi Lu

Research Areas

Impact Areas

Anyscale Learning for All ALFA

Yi Lu

Project

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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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Impact Areas

Networks and Mobile Systems

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Aggregate Congestion Control

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

Imagination, Computation, and Expression Laboratory (ICE Lab)

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Francis Cangialosi

Project

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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

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D. Fox Harrell

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Algebraic Techniques for Algorithm Design

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Virginia Vassilevska Williams

Leads

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Virginia Vassilevska Williams

Project

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Supertech Research Group

The project concerns algorithmic solutions for writing fast codes.

Leads

Research Areas

Impact Areas

Project

Alloy

Software Design Group

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Leads

Daniel Jackson

Research Areas

Impact Areas

Daniel Jackson

Project

Amoeba: A shape changing storage system for big data

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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Theory of Distributed Systems Group

Alekh Jindal

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Leads

Nancy Lynch

Research Areas

Computer-Aided Programming

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Project

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Software Design Group

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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

Impact Areas

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

Interactive Robotics Group

D. Fox Harrell

Peter Mawhorter

Project

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

Leads

Research Areas

Impact Areas

Project

Approximate String Joins with Abbreviations

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

Wenbo Tao

Leads

Wenbo Tao

Research Areas

Wenbo Tao

Project

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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

Spoken Language Systems Group

Virginia Vassilevska Williams

Project

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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

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

Impact Areas

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

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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Impact Areas

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1327 People Results

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Temporary Lecturer

E zabel@mit.edu

PI
Core/Dual

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Member

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