SystemsThatLearn@CSAIL:

A new MIT research initiative to accelerate the development, deployment, and evolution of large-scale software systems that incorporate machine learning and artificial intelligence.

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Artificial Intelligence: Implications for Business Strategy online course | Starting October 30th!
What is artificial intelligence (AI)?  What does it mean for business?  And how can your company take advantage of it?  This online program, designed by the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), will help you answer these questions.
Learn more

Top logo- AI and the Future of Work

MIT CSAIL and the MIT IDE will host a 2-day conference to help industry effectively navigate the opportunities and challenges of the AI Revolution, as well as provide valuable insight to individuals charting their career paths across the many fields impacted by advancements in AI. Read more

Register by October 4, 2017, for early bird pricing!

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Initiative Members Only
Click here to access inclusive members-only resources and gain further insight into the latest research, learn about upcoming events and happenings of SystemsThatLearn@CSAIL. You must be logged into your Alliances website account to view the materials.

Why?

The next decade will usher in a new frontier of sophisticated systems that perform complex “human-like” tasks, with complex inferences and predictions. With data gathered from diverse sensors and mobile devices, computing power spread across embedded devices and datacenters, as well as ubiquitous network connectivity, we will need new tools to realize the potential of learning systems. We are already seeing practical applications of these systems in areas such as autonomous vehicles and personalized health care that have the potential to transform industries and societies.

What?

The goal of the Systems That Learn initiative is to accelerate the development of systems and applications that learn.  We intend to accomplish this goal through combining our expertise in Systems and Machine Learning to create new applications for understanding complex relationships from the avalanche of data available today.  Systems That Learn has been created to to enable cross-collaboration and accelerate development of innovative human-like systems to serve the world.

Learn more about MIT CSAIL’s latest initiative from our researchers and industry members:
STL@CSAIL Research Projects | Initiative Launch

How

Our work will leverage many world-class faculty in MIT Computer Science and Artificial Intelligence Laboratory, who have pioneered the field of machine learning and systems, towards advancing the state-of-the-art with select industry partners to address the hardest real-world business problems. MIT is uniquely positioned to accomplish this, through the rigorous research of our faculty coupled with our tradition of collaborating with industry to ensure our work is both relevant and practical. We anticipate many opportunities for direct, active collaboration and knowledge sharing though events, projects and directed research.

Why Join?

The goal of SystemsThatLearn@CSAIL membership is to promote in-depth interactions between industry and academia. Member companies will have the opportunity to be exposed to multiple research projects that span the full spectrum of machine learning/artificial intelligence and analytics. We will collaborate closely with industry to provide real-world applications and drive impact. Our team of world-class researchers covers the full spectrum of research in systems and machine learning.

Advisory Board

Each member company will have one representative on the board. The board will advise the initiative on industry needs, provide feedback on existing research and advise future research direction through seeded projects. This board will help shape the priorities of the initiative.

Access New Research

Access in-depth exploration of CSAIL research in AI, machine learning and data analytics. As part of this initiative, we will leverage the work of 15+ existing research projects. Members will have unprecedented access to the research and the research teams.

Early Access to New Tools

Test application of tools developed to real-world situations and explore new projects.
Access tools created as part of the initiative via MIT open source license through the CSAIL Living Lab & Technology Portal.

Shared Learning

Participate in in-depth interactions and shared learning on topics of particular interest to each company. Close interaction with the researchers engaged in what matters most to your company.

Cross-collaboration

Access additional research groups, researchers, and students within MIT’s Computer Science and Artificial Intelligence Laboratory through CSAIL’s Alliance Program (CAP) at the Affiliate level.

Connect

Connect with the latest research from across CSAIL through workshops, technical talks, lectures and students poster sessions. Access the two-day lab-wide Annual Meeting and let your geek flag fly.

Come Visit

Members of your company are welcome to visit CSAIL for a private lab visit, tour, demos and meetings to network with faculty, students and other members throughout the year.

Student Profile Book

Profiles of students working in the Machine Learning, Artificial Intelligence, and Analytics space, published yearly.

Job Postings & Advertisement

Members have the opportunity to advertise open position announcements within CSAIL, as well as having company logos on the CSAIL Alliance Program site and on conference material.

Faculty

madden

Sam Madden

Faculty  Co-Director
jaakkola

Tommi S. Jaakkola

Faculty Co-Director
alizadeh-mohammad

Mohammad Alizadeh

Assistant Professor
amarasinghe-saman-p

Saman Amarasinghe

Professor
arvind

Arvind

Professor
balakrishnan-hari

Hari Balakrishnan

Professor
Barzilay, Regina

Regina Barzilay

Professor
berger-bonnie

Bonnie Berger

Professor
broderick

Tamara Broderick

Assistant Professor
Michael Carbin MIT CSAIL

Michael Carbin

Assistant Professor
devadas-srini

Srini Devadas

Professor
edelman-alan

Alan Edelman

Professor
fisher-iii-john

John W. Fisher III

Senior Research Scientist
freeman-bill

Bill Freeman

Professor
glass-james-r

Jim Glass

Senior Research Scientist
golland-polina

Polina Golland

Professor
gupta-amar

Amar Gupta

Visiting Professor
guttag-john

John Guttag

Professor
indyk-piotr

Piotr Indyk

Professor
jegelka

Stefanie Jegelka

Assistant Professor
kagal-lalana

Lalana Kagal

Principal Research Scientist
katz

Boris Katz

Principal Research Scientist
lynch-nancy-ann

Nancy A. Lynch

Professor
lo-andrew

Andrew Lo

Professor
madry-aleksander

Aleksander Mądry

Assistant Professor
matusik-wojciech

Wojciech Matusik

Associate Professor
oliva-aude

Aude Oliva

Principal Research Scientist
pentland-sandy

Alex “Sandy” Pentland

Professor
roy-nicholas-2

Nicholas Roy

Associate Professor
rubinfeld-ronitt

Ronitt Rubinfeld

Professor
sanchez-daniel

Daniel Sanchez

Assistant Professor
shavit-nir-n

Nir Shavit

Professor
lezama-armando-solar

Armando Solar-Lezama

Associate Professor
solomon-justin

Justin Solomon

Assistant Professor
stonebraker-michael

Michael Stonebraker

Adjunct Professor, ACM Turing Award 2014
Peter Szolovits

Peter Szolovits

Professor
torralba-antonio

Antonio Torralba

Professor
tedrake-russell-louis

Russ Tedrake

Professor
MIT CSAIL STL site logo.2

SystemsThatLearn@CSAIL Members

BASF logo
BT_logo.svg
Microsft Logo 2016
Nokia Bell Labs
Salesforce- Transparent
Schlumberger- transparent
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Interested?  Get in Touch With Us!

Office:

Massachusetts Institute of Technology
Computer Science and Artificial Intelligence Laboratory
32 Vassar Street

Cambridge, MA 02139
cap.csail.mit.edu

Lori Glover
Executive Director, SystemsThatLearn@CSAIL

Phone: +1 (617) 715-2460
Email: loriglover@csail.mit.edu

SystemsThatLearn@CSAIL is the latest research initiative from CSAIL Alliances.