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Barbara Liskov 2

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

June 27 '19

CSAIL hosts first-ever TEDxMIT

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

CSAIL hosts first-ever TEDxMIT

45 Group Results

Research Group

Advanced Network Architecture Group

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.

+4

David Clark

Karen Sollins

Leads

David Clark

Karen Sollins

Research Areas

Security & Cryptography

Systems & Networking

Impact Areas

Lead

David Clark

Karen Sollins

David Clark

Karen Sollins

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.

+1

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Security & Cryptography

Impact Areas

Lead

Una-May O'Reilly

Una-May O'Reilly

Community of Research

Applied Machine Learning Community of Research

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.

+6

Una-May O'Reilly

Leads

Una-May O'Reilly

Research Areas

Computational Biology

Programming Languages & Software Engineering

Impact Areas

Lead

Una-May O'Reilly

Una-May O'Reilly

Research Group

Broderick Lab

We work in the areas of statistics and machine learning.

Tamara Broderick

Leads

Tamara Broderick

Research Areas

Algorithms & Theory

Impact Areas

Lead

Tamara Broderick

Tamara Broderick

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.

Tomaso Poggio

Leads

Tomaso Poggio

Research Areas

Computational Biology

Impact Areas

Lead

Tomaso Poggio

Tomaso Poggio

Research Center

Center for Deployable Machine Learning (CDML)

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

+5

Aleksander Madry

Leads

Aleksander Madry

Research Areas

Algorithms & Theory

Graphics & Vision

Human-Computer Interaction

Programming Languages & Software Engineering

Security & Cryptography

Impact Areas

Lead

Aleksander Madry

Aleksander Madry

Research Group

Clinical Decision-Making Group

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

+10

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Computational Biology

Impact Areas

Lead

Peter Szolovits

Peter Szolovits

Research Group

Clinical Machine Learning Group

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

David Sontag

Leads

David Sontag

Research Areas

Impact Areas

Lead

David Sontag

David Sontag

Community of Research

Cognitive AI Community of Research

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.

+6

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Human-Computer Interaction

Security & Cryptography

Systems & Networking

Impact Areas

Lead

Howard Shrobe

Howard Shrobe

Research Group

Commit Group

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

Leads

Saman Amarasinghe

Research Areas

Computer Architecture

Programming Languages & Software Engineering

Impact Areas

Lead

Saman Amarasinghe

Saman Amarasinghe

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.

Bonnie Berger

Leads

Bonnie Berger

Research Areas

Algorithms & Theory

Computational Biology

Impact Areas

Lead

Bonnie Berger

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.

+21

Leads

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

Research Areas

Computer Architecture

Programming Languages & Software Engineering

Security & Cryptography

Systems & Networking

Impact Areas

Lead

Srini Devadas

Daniel Sanchez

Armando Solar-Lezama

Arvind

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

Impact Areas

Lead

Manolis Kellis

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

Computational Biology

Impact Areas

Lead

Joshua Tenenbaum

Joshua Tenenbaum

Research Group

Computational Connectomics Group

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

Lead

Nir Shavit

Nir Shavit

Research Group

Computational Genomics Group

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

Computational Biology

Impact Areas

Lead

Dave Gifford

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.

Aude Oliva

Leads

Aude Oliva

Research Areas

Computational Biology

Impact Areas

Lead

Aude Oliva

Aude Oliva

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.

+8

Daniel Weitzner

Leads

Daniel Weitzner

Research Areas

Algorithms & Theory

Human-Computer Interaction

Security & Cryptography

Systems & Networking

Impact Areas

Internet of Things

Lead

Daniel Weitzner

Daniel Weitzner

Research Group

Cryptography and Information Security Group

We seek to develop techniques for securing tomorrow's global information infrastructure by exploring theoretical foundations, near-term practical applications, and long-range speculative research.

Leads

Shafi Goldwasser

Silvio Micali

Ronald Rivest

Vinod Vaikuntanathan

Butler Lampson

Research Areas

Algorithms & Theory

Security & Cryptography

Impact Areas

Lead

Shafi Goldwasser

Silvio Micali

Ronald Rivest

Vinod Vaikuntanathan

Butler Lampson

Research Group

Data Systems Group

We conduct research on all areas of database systems and information management.

+15

Leads

Sam Madden

Michael Stonebraker

Tim Kraska

Research Areas

Programming Languages & Software Engineering

Security & Cryptography

Systems & Networking

Impact Areas

Lead

Sam Madden

Michael Stonebraker

Tim Kraska

Research Group

Data-Driven Inference Group

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

John Guttag

Leads

John Guttag

Research Areas

Impact Areas

Lead

John Guttag

John Guttag

Research Group

Decentralized Information Group

We are investigating decentralized technologies that affect social change.

+5

Lalana Kagal

Tim Berners-Lee

Leads

Lalana Kagal

Tim Berners-Lee

Research Areas

Algorithms & Theory

Programming Languages & Software Engineering

Systems & Networking

Impact Areas

Internet of Things

Lead

Lalana Kagal

Tim Berners-Lee

Lalana Kagal

Tim Berners-Lee

Research Group

Distributed Robotics Laboratory

We aim to develop the science of autonomy toward a future with robots and AI systems integrated into everyday life, supporting people with cognitive and physical tasks.

+13

Daniela Rus

Leads

Daniela Rus

Research Areas

Impact Areas

Lead

Daniela Rus

Daniela Rus

Research Group

Genesis Group

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

118 Project Results

Project

3D Generative Adversarial Networks

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

Graphics & Vision

Impact Areas

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

Quan Nguyen

Project

A new way of handling all-to-all broadcast

Computation Structures Group

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

Alin Tomescu

Jun Wan

Leads

Jun Wan

Research Areas

Algorithms & Theory

Security & Cryptography

Alin Tomescu

Jun Wan

Project

Active Learning of Models for Planning

Learning and Intelligent Systems

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.

Leslie Kaelbling

Tomas Lozano-Perez

Leads

Leslie Kaelbling

Tomas Lozano-Perez

Research Areas

Algorithms & Theory

Human-Computer Interaction

Impact Areas

Leslie Kaelbling

Tomas Lozano-Perez

Project

Adversarial Cyber Security

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

Una-May O'Reilly

Research Areas

Security & Cryptography

Impact Areas

Una-May O'Reilly

Project

Alloy

Software Design Group

Human-Computer Interaction Community of Research

Alloy is a language for describing structures and a tool for exploring them. It has been used in a wide range of applications from finding holes in security mechanisms to designing telephone switching networks. Hundreds of projects have used Alloy for design analysis, for verification, for simulation, and as a backend for many other kinds of analysis and synthesis tools, and Alloy is currently being taught in courses worldwide.

Daniel Jackson

Leads

Daniel Jackson

Research Areas

Human-Computer Interaction

Programming Languages & Software Engineering

Security & Cryptography

Impact Areas

Daniel Jackson

Project

An Interlock for Self Driving Cars

Software Design Group

Computer-Aided Programming

Vertical AI Community of Research

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

Leads

Daniel Jackson

Armando Solar-Lezama

Research Areas

Human-Computer Interaction

Programming Languages & Software Engineering

Systems & Networking

Impact Areas

Daniel Jackson

Armando Solar-Lezama

Project

Apprenticeship Scheduling: Learning to Schedule From Human Experts

Interactive Robotics Group

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

Leads

Research Areas

Impact Areas

Project

Arabic Language Processing

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.

Mitra Mohtarami

Leads

Mitra Mohtarami

Research Areas

Human-Computer Interaction

Mitra Mohtarami

Project

Artificial Social Intelligence for Successful Teams (ASIST)

Computation Structures Group

Computational Cognitive Science Group

Model-Based Embedded and Robotics Systems Group

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

Leads

Howard Shrobe

Brian Williams

Boris Katz

Zhutian Yang

Research Areas

Computer Architecture

Human-Computer Interaction

Impact Areas

Project

Artificial tissue homeostasis

Weiss Laboratory for Synthetic Biology

In order to be able to design synthetic organs that function autonomously, we will need to engineer artificial tissue homeostasis. To control the size of these artificial tissues, two major mechanisms will have to be engineered.

Leads

Research Areas

Computational Biology

Impact Areas

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.

Regina Barzilay

Tommi Jaakkola

Leads

Regina Barzilay

Tommi Jaakkola

Research Areas

Algorithms & Theory

Systems & Networking

Regina Barzilay

Tommi Jaakkola

Project

Automated Attack Tree Generation for Critical Infrastructure

Model-Based Embedded and Robotics Systems Group

Cognitive AI Community of Research

Using AI methods, we are developing an attack tree generator that automatically enumerates cyberattack vectors for industrial control systems in critical infrastructure (electric grids, water networks and transportation systems). The generator can quickly assess cyber risk for a system at scale.

Howard Shrobe

Leads

Howard Shrobe

Research Areas

Security & Cryptography

Impact Areas

Howard Shrobe

Project

Automatic Speech Recognition

Spoken Language Systems Group

Automatic speech recognition (ASR) has been a grand challenge machine learning problem for decades. Our ongoing research in this area examines the use of deep learning models for distant and noisy recording conditions, multilingual, and low-resource scenarios.

Sameer Khurana

Jim Glass

Leads

Sameer Khurana

Jim Glass

Research Areas

Human-Computer Interaction

Impact Areas

Internet of Things

Sameer Khurana

Jim Glass

Project

Autonomous Vehicle Databases

Data Systems Group

The impending success of AV technology will create vehicles that collect sensor data at a high rate.

Michael Stonebraker

Sam Madden

Leads

Michael Stonebraker

Sam Madden

Research Areas

Impact Areas

Michael Stonebraker

Sam Madden

Project

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus

Clinical Decision-Making Group

Cognitive AI Community of Research

Applied Machine Learning Community of Research

Adding domain knowledge to word embeddings.

Peter Szolovits

Leads

Peter Szolovits

Research Areas

Impact Areas

Peter Szolovits

Project

Basing Cryptography on Structured Hardness

Cryptography and Information Security Group

Theory of Computation Community of Research

We aim to base a variety of cryptographic primitives on complexity theoretic assumptions. We focus on the assumption that there exist highly structured problems --- admitting so called "zero-knowledge" protocols --- that are nevertheless hard to compute

Leads

Research Areas

Algorithms & Theory

Security & Cryptography

Project

Bayesian Optimization for Global Optimization of Expensive Black-box Functions

Machine Learning

Learning and Intelligent Systems

We study the fundamentals of Bayesian optimization and develop efficient Bayesian optimization methods for global optimization of expensive black-box functions originated from a range of different applications.

Leads

Research Areas

Algorithms & Theory

Impact Areas

Project

Better Models for Ride-Sharing

Distributed Robotics Laboratory

Traffic is not just a nuisance for drivers: It’s also a public health hazard and bad news for the economy.

Leads

Research Areas

Algorithms & Theory

Systems & Networking

Impact Areas

Project

Blood Pressure Imager

Development of affordable wearable continuous blood pressure monitor based on radial arterial pulse imaged from the skin surface of human wrist

Mumin Jin

Aya G. Halawi

Jianhua Li

Leads

Abhijit Biswas

Ted Adelson

Mandayam A. Srinivasan

Mohan Thanikachalam

Research Areas

Computational Biology

Graphics & Vision

Mumin Jin

Aya G. Halawi

Jianhua Li

Project

BlueDBM: Distributed Flash Storage for Big Data Analytics

Computation Structures Group

BlueDBM is an architecture of computer clusters consisting of fast distributed flash storage and in-storage accelerators, which often outperforms larger and more expensive clusters in applications such as graph analytics.

Leads

Research Areas

Computer Architecture

Systems & Networking

Impact Areas

Project

The Car Can Explain!

Decentralized Information Group

Cognitive AI Community of Research

Computing & Society Community of Research

Developing techniques to allow self-driving cars and other AI-driven systems to explain behaviors and failures.

Gerald Sussman

Lalana Kagal

Leads

Gerald Sussman

Lalana Kagal

Research Areas

Human-Computer Interaction

Systems & Networking

Impact Areas

Gerald Sussman

Lalana Kagal

Project

Cardiac MRI analysis

Medical Vision Group

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

Polina Golland

Leads

Polina Golland

Research Areas

Graphics & Vision

Impact Areas

Polina Golland

Project

CliNER: Clinical Concept Extraction

Cognitive AI Community of Research

Applied Machine Learning Community of Research

Clinical concept extraction (CCE) of named entities - such as problems, tests, and treatments - aids in forming an understanding of notes and provides a foundation for many downstream clinical decision-making tasks. Historically, this task has been posed as a standard named entity recognition (NER) sequence tagging problem, and solved with feature-based methods using hand-engineered domain knowledge. Recent advances, however, have demonstrated the efficacy of LSTM-based models for NER tasks, including CCE. This work presents CliNER 2.0, a simple-to-install, open-source tool for extracting concepts from clinical text. CliNER 2.0 uses a word- and character- level LSTM model, and achieves state-of-the-art performance. For ease of use, the tool also includes pre-trained models available for public use.

Leads

William Boag

Elena Sergeeva

Peter Szolovits

Anna Rumshisky

Research Areas

Impact Areas

125 People Results

PI
Core/Dual

Ted Adelson

Professor

Vision, touch sensing, robotics

E adelson@csail.mit.edu

T 253-0645

RM

Lead

Blood Pressure Imager

Member

Embodied Intelligence Community of Research

Visual Computing Community of Research

Vision, touch sensing, robotics

Monica Agrawal

Graduate Student

E magrawal@mit.edu

RM

Leandro Agudelo

Research Scientist

Systems Genomics, CompBio, Topological Integrative Biology, Biology

E lagudelo@csail.mit.edu

Systems Genomics, CompBio, Topological Integrative Biology, Biology

Ekin Akyürek

Graduate Student

First year PhD student in computer science

E akyurek@mit.edu

First year PhD student in computer science

PI
Core/Dual

Saman Amarasinghe

Professor

Compilers, architectures, software engineering

E saman@csail.mit.edu

T 253-8879

RM

Lead

Tiramisu Compiler

Member

Simit: A Language for Computing on Sparse Systems

Taco: The Tensor Algebra Compiler

OpenTuner: An Extensible Framework for Program Autotuning

Program Performance Prediction with Deep Learning

Vertical AI Community of Research

Compilers, architectures, software engineering

Alexander Amini

Graduate Student

PhD Candidate. Deep Learning; Robotics

E Amini@mit.edu

RM

Lead

Robust Learning for Autonomous Vehicles

Member

Self-Driving Vehicles

Distributed Robotics Laboratory

PhD Candidate. Deep Learning; Robotics

Brandon Araki

Graduate Student

E araki@csail.mit.edu

Anish Athalye

Graduate Student

PhD student in PDOS

E aathalye@mit.edu

RM 32-G978A

PhD student in PDOS

PI
Core/Dual

Regina Barzilay

Professor

Natural language processing, machine learning

E regina@csail.mit.edu

T 258-5706

RM

Lead

Natural Language Processing Group

Aspect-Augmented Adversarial Networks for Domain Adaptation

Member

Vertical AI Community of Research

Applied Machine Learning Community of Research

Natural language processing, machine learning

Cenk Baykal

Graduate Student

E baykal@mit.edu

RM 32-376C

Member

Distributed Robotics Laboratory

Coresets for Machine Learning Algorithms

PI
Core/Dual

Bonnie Berger

Professor

Computational biology, genomics

E bab@csail.mit.edu

T 253-1827

RM

Lead

Covering All K-mers Using Joker Characters

Towards Context-Aware Functional Genomics

Metagenomic Binning Through Low-Density Hashing

Computation and Biology

Member

Computation Structures Group

Theory of Computation Community of Research

Applied Machine Learning Community of Research

Computational biology, genomics

PI
Core/Dual

Tim Berners-Lee

Professor

Systems, privacy, inventor of the World Wide Web

E timbl@w3.org

T 253-5702

RM

Lead

Decentralized Information Group

World Wide Web Consortium

Solid: Social Linked Data

Member

Computing & Society Community of Research

Systems, privacy, inventor of the World Wide Web

Laurent Bindschaedler

Postdoctoral Fellow

Systems for Big Data and ML. ML for Systems.

E bindscha@mit.edu

Member

Data Systems Group

Systems for Big Data and ML. ML for Systems.

William Boag

Graduate Student

Clinical NLP

E wboag@mit.edu

RM

Lead

Synthetically-Identified Clinical Notes

Information Retrieval for Cancer Treatments in Clinical Literature and Trial Eligibility

CliNER: Clinical Concept Extraction

Quantifying Racial Disparities in End-of-Life Care

Member

Clinical Decision-Making Group

Clinical NLP

PI
Core/Dual

Tamara Broderick

Associate Professor

Machine learning, statistics, Bayesian methods, inference

E tbroderick@csail.mit.edu

T 324-6749

RM

Lead

Machine Learning

Scalable Bayesian Inference via Adaptive Data Summaries

Scalable Bayesian inference with optimization

Member

Vertical AI Community of Research

Machine learning, statistics, Bayesian methods, inference

Noam Buckman

Graduate Student

PhD Candidate. Autonomous vehicles. Multi-robot systems.

E nbuckman@mit.edu

RM

Member

Distributed Robotics Laboratory

Self-Driving Vehicles

PhD Candidate. Autonomous vehicles. Multi-robot systems.

Richard Camilli

Research Affiliate

E romeo@mit.edu

Member

Model-Based Embedded and Robotics Systems Group

Geeticka Chauhan

Graduate Student

E geeticka@mit.edu

RM

Member

Clinical Decision-Making Group

Quantification of Pulmonary Edema in Chest Radiographs

Irene Chen

Graduate Student

Machine learning, healthcare, fairness

E iychen@mit.edu

Member

Clinical Machine Learning Group

Machine Learning

Machine learning, healthcare, fairness

Xuhao Chen

Postdoctoral Associate

Parallel Computer Architecture, Data Mining, Machine Learning

E cxh@mit.edu

Parallel Computer Architecture, Data Mining, Machine Learning

PI
Core/Dual

Adam Chlipala

Associate Professor

Programming languages, formal methods, security & privacy, systems

E adamc@csail.mit.edu

T 324-8439

RM

Lead

Kami: A Modular Deductive Hardware Verification Platform

Compilation Using Correct-by-Construction Program Synthesis

Programming Languages & Verification

Hemiola: Structural Design and Proof of Cache-Coherence Protocols

Member

Compilation Using Correct-by-Construction Program Synthesis

Programming with spaces

Computation Structures Group

FSCQ: File-system verification

Systems Community of Research

Programming languages, formal methods, security & privacy, systems

Yu-An Chung

Graduate Student

Speech and language processing, machine learning

E andyyuan@mit.edu

RM

Lead

Unsupervised Speech Processing

Member

Spoken Language Systems Group

Speech and language processing, machine learning

Valentin Churavy

Graduate Student

#JuliaLang, #GPU, #HPC

E vchuravy@MIT.EDU

Member

Adversarial Cyber Security

#JuliaLang, #GPU, #HPC

PI
Core/Dual

David Clark

Senior Research Scientist

Internet architectures, communications policy, security

E ddc@csail.mit.edu

T 253-6003

RM

Lead

Advanced Network Architecture Group

Internet Policy Research Initiative

Member

Computing & Society Community of Research

Systems Community of Research

Internet architectures, communications policy, security

157 News Results

Proteins

AI & ML Computational Biology Health Care

January 21 '21

Model analyzes how viruses escape the immune system

Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.

Model analyzes how viruses escape the immune system

AI & ML Graphics & Vision

January 13 '21

Professor Antonio Torralba elected 2021 AAAI Fellow

EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.

Professor Antonio Torralba elected 2021 AAAI Fellow

Self-driving cars

AI & ML Transportation

December 10 '20

Explained: Levels of autonomy in self-driving cars

A six-level system classifies the varying degrees of vehicle autonomy

Explained: Levels of autonomy in self-driving cars

Agent vs. Observer

Algorithms & Theory AI & ML

December 07 '20

Building machines that better understand human goals

A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning

Building machines that better understand human goals

BERT

Algorithms & Theory AI & ML

December 02 '20

Shrinking massive neural networks used to model language

A new approach could lower computing costs and increase accessibility to state-of-the-art natural language processing.

Shrinking massive neural networks used to model language

A neural network learns when it should not be trusted

AI & ML Robotics Transportation

November 24 '20

A neural network learns when it should not be trusted

A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.

A neural network learns when it should not be trusted

UTI 1

Algorithms & Theory AI & ML Computational Biology Health Care

November 04 '20

Algorithm reduces unnecessary use of antibiotics for UTIs

Machine learning model predicts probability that a patient’s UTI can be treated by various antibiotics

Algorithm reduces unnecessary use of antibiotics for UTIs

Screening drug compounds 1

AI & ML Health Care

October 16 '20

Machine learning uncovers potential new TB drugs

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.

Machine learning uncovers potential new TB drugs

Regina Barzilay

AI & ML Health Care

September 23 '20

Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award

MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.

Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award

Sleeping position

Algorithms & Theory AI & ML Health Care

September 17 '20

Monitoring sleep positions for a healthy rest

Wireless device captures sleep data without using cameras or body sensors; could aid patients with Parkinson’s disease, epilepsy, or bedsores.

Monitoring sleep positions for a healthy rest

video game

AI & ML Education

September 15 '20

Examining racial attitudes in virtual spaces through gaming

Computational model developed at MIT builds off of 2019 research examining colorblind racial attitudes through a video game.

Examining racial attitudes in virtual spaces through gaming

computer vision model 1

Algorithms & Theory AI & ML Programming Languages & Software Engineering

September 08 '20

Toward a machine learning model that can reason about everyday actions

Researchers train a model to reach human-level performance at recognizing abstract concepts in video.

Toward a machine learning model that can reason about everyday actions

TLP

AI & ML 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.”

Lozano-Perez wins 2021 IEEE Robotics and Automation Award

Disinfecting robot

AI & ML Health Care

June 29 '20

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

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

geeticka c

AI & ML Health Care

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.

Learning the ropes and throwing lifelines

chen-yu

AI & ML Health Care

May 13 '20

What can your dishwasher tell you about your health?

CSAIL system uses wireless signals to measure in-home appliance usage to better understand health tendencies.

What can your dishwasher tell you about your health?

COVID-19 breathing

Algorithms & Theory AI & ML Health Care Wireless

April 14 '20

CSAIL device lets doctors monitor COVID-19 patients from a distance

Wireless system helps Boston retirement home care for COVID patients while reducing risk of contagion

CSAIL device lets doctors monitor COVID-19 patients from a distance

Bluetooth sharing

AI & ML Security & Cryptography Systems & Networking Health Care

April 09 '20

Automated Covid-19 contact tracing - while preserving privacy

New system uses Bluetooth signals from your smartphone, with the goal of automating Covid-19 contact tracing while preserving privacy

Automated Covid-19 contact tracing - while preserving privacy

Cameron Hamilton 2

AI & ML Entertainment Health Care

April 02 '20

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

CommPlan 2

AI & ML Robotics

April 01 '20

Teaching robots workplace etiquette

MIT framework goes past the "how" of communication to teach robots the "if" and "when"

Teaching robots workplace etiquette

Armando Solar-Lezama 1

Security & Cryptography

March 24 '20

Armando Solar-Lezama wins NSF Expeditions Grant

This week it was announced that MIT professor Armando Solar-Lezama has received a prestigious NSF award for junior faculty, to go towards a new project that could impact scientific discovery in domains as diverse as organic chemistry, RNA splicing and cognitive science.

Armando Solar-Lezama wins NSF Expeditions Grant

Aleksander Madry

Algorithms & Theory AI & ML

March 16 '20

“Doing machine learning the right way”

Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.

“Doing machine learning the right way”

computer model of face recognition

AI & ML Graphics & Vision

March 06 '20

A new model of vision

Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.

A new model of vision

Robot chores 1

Algorithms & Theory AI & ML Robotics

March 05 '20

Showing robots how to do your chores

By observing humans, robots learn to perform complex tasks, such as setting a table.

Showing robots how to do your chores