Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image.

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

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

September 18, 2018

MIT researchers have developed a module that helps artificial-intelligence systems fill in the gaps between video frames to improve activity recognition.

Helping computers fill in the gaps between video frames

Machine learning system efficiently recognizes activities by observing how objects change in only a few key frames.

September 13, 2018

MIT researchers have developed an algorithm that traces intersections in sketches without error. This could save digital artists significant time and frustration when vectorizing an image for animation, marketing logos, and other applications.

Smoothing out sketches’ rough edges

MIT-developed tool improves automated image vectorization, saving digital artists time and effort.

September 11, 2018

PhD student Lucas Manuelli worked with lead author Pete Florence to develop a system that uses advanced computer vision to enable a Kuka robot to pick up virtually any object.

Robots can now pick up any object after inspecting it

Breakthrough CSAIL system suggests robots could one day be able to see well enough to be useful in people’s homes and offices.

September 10, 2018

MIT researchers have developed a neural-network model that can analyze raw text and audio data from interviews to discover speech patterns indicative of depression. This method could be used to develop diagnostic aids for clinicians that can detect signs of depression in natural conversation.

Model can more naturally detect depression in conversations

Neural network learns speech patterns that predict depression in clinical interviews.

August 29, 2018

MIT researchers have developed a machine-learning model that groups patients into subpopulations by health status to better predict a patient’s risk of dying during their stay in the ICU. This technique outperforms "global" mortality-prediction models and reveals performance disparities of those models across specific patient subpopulations.

Model improves prediction of mortality risk in ICU patients

By training on patients grouped by health status, neural network can better estimate if patients will die in the hospital.

August 29, 2018

Julia 1.0, developed and incubated at MIT, was officially released to the public during JuliaCon, an annual conference of Julia users held recently in London.

MIT-created programming language Julia 1.0 debuts

The dynamic programming language, which is free and open source, combines the speed and popular features of the best scientific and technical software.

August 27, 2018

The new system was developed by a CSAIL group led by Professor Dina Katabi (pictured)

A "GPS for inside your body"

CSAIL wireless system suggests future where doctors could implant sensors to track tumors or even dispense drugs.

August 20, 2018

A novel encryption method devised by MIT researchers secures data used in online neural networks, without dramatically slowing their runtimes, which holds promise for medical-image analysis using cloud-based neural networks and other applications.

More efficient security for cloud-based machine learning

Novel combination of two encryption techniques protects private data, while keeping neural networks running quickly.

August 17, 2018

CSAIL researchers have developed a visualization tool for CAD that, for the first time, lets users instead interactively explore all designs that best fit multiple, often-conflicting performance tradeoffs, in real time.

Design tool reveals a product’s many possible performance tradeoffs

Users can quickly visualize designs that optimize multiple parameters at once.

August 15, 2018

Computer scientists from MIT and IPRI propose a new cryptographic system to improve accountability of government surveillance while maintaining enough confidentiality for the police to do their jobs.

Holding law-enforcement accountable for electronic surveillance

CSAIL system encourages government transparency using cryptography on a public log of wiretap requests.

August 8, 2018

MIT Professor Costis Daskalakis is the 2018 winner of the Nevanlinna Prize.

Constantinos Daskalakis wins prestigious Nevanlinna Prize

Professor of electrical engineering and computer science is honored for his contributions to theoretical computer science.

August 1, 2018

MIT professor Silvio Micali, one of the leaders of the new FinTech@CSAIL initiative, speaks to industry leaders at the Stata Center.

CSAIL launches new initiative for financial technology

FinTech@CSAIL industry collaboration will work to improve business models, access to data, and security in the finance sector.

July 26, 2018

A new study from MIT computer scientists suggests that human doctors provide a dimension that, as yet, artificial intelligence does not.

Doctors rely on more than just data for medical decision making

Computer scientists find that physicians’ “gut feelings” influence how many tests they order for patients.

July 20, 2018

School of Engineering second quarter 2018 awards

Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.

July 17, 2018

MIT News | Massachusetts Institute of Technology

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