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Graduate student Connor Coley has been honored for his work in the field of machine learning and chemical synthesis.

Connor Coley named a Chemical and Engineering News Talented Twelve

Chemical engineering graduate student was named a “machine-learning maestro” by the magazine.

September 14, 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

TbD-net solves the visual reasoning problem by breaking it down to a chain of subtasks. The answer to each subtask is shown in heat maps highlighting the objects of interest, allowing analysts to see the network's thought process.

Artificial intelligence system uses transparent, human-like reasoning to solve problems

Model from MIT Lincoln Laboratory Intelligence and Decision Technologies Group sets a new standard for understanding how a neural network makes decisions.

September 11, 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

The MIT Quest for Intelligence will fund up to 100 students to participate in Quest-themed UROP projects each semester.

MIT undergraduates to embark on The Quest

Up to 100 Quest-funded UROP projects aim to crack the code of human and machine intelligence.

September 7, 2018

Department of Aeronautics and Astronautics grad students Sebastien Mannai (left) and Antoni Rosinol Vidal won the FutureMakers Challenge first prize by demonstrating the utility of machine vision and signal processing in a complex mechanical engineering system.

Sebastien Mannai, Antoni Rosinol Vidal win FutureMakers first prize

AeroAstro grad students win multi-university challenge by demonstrating the utility of machine vision in a complex system.

September 4, 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