Algorithms

Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope.

Putting neural networks under the microscope

Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.

February 1, 2019

The Jenga-playing robot demonstrates something that’s been tricky to attain in previous systems: the ability to quickly learn the best way to carry out a task, not just from visual cues, as it is commonly studied today, but also from tactile, physical interactions.

MIT robot combines vision and touch to learn the game of Jenga

Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.

January 30, 2019

MIT engineers have now developed an algorithm that lets autonomous underwater vehicles weigh the risks and potential rewards of exploring an unknown region.

Engineers program marine robots to take calculated risks

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

January 30, 2019

New research describes a single neural network that can collect missing data from a patient and add it to their chart.

Filling the gaps in a patient’s medical data

Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.

January 25, 2019

A model by MIT and Microsoft researchers identifies instances where autonomous systems have “learned” from training examples that don’t match what’s actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

January 24, 2019

MIT researchers have developed a new secure cryptocurrency that reduces data users need to join the network and verify transactions by up to 99 percent, compared to today’s popular cryptocurrencies, which could mean a more scalable network.

A faster, more efficient cryptocurrency

Design reduces by 99 percent the data users need to join the network and verify transactions.

January 23, 2019

MIT researchers are hoping to advance the democratization of data science with a new tool for nonprogrammers that automatically generates models for analyzing raw data.

Democratizing data science

Tool for nonstatisticians automatically generates models that glean insights from complex datasets.

January 15, 2019

MIT researchers have devised a technique that “reverse engineers” complex 3-D computer-aided design (CAD) models — breaking them down into the many individual shapes they’re made of — to make them far easier for users to customize for manufacturing and 3-D printing applications.

Customizing computer-aided design

System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.

January 2, 2019

From an original transparent etching (far right), engineers produced a photograph in the dark (top left), then attempted to reconstruct the object using first a physics-based algorithm (top right), then a trained neural network (bottom left), before combining both the neural network with the physics-based algorithm to produce the clearest, most accurate reproduction (bottom right) of the original ...

Deep-learning technique reveals “invisible” objects in the dark

Method could illuminate features of biological tissues in low-exposure images.

December 12, 2018

The principal researchers of Lincoln Laboratory's 12 finalists for 2018 R&D 100 Awards pose with Lincoln Laboratory Director Eric Evans (far left). The principal researchers of the 10 winning technologies are holding their award plaques.

MIT Lincoln Laboratory wins 10 R&D 100 Awards

Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.

November 30, 2018

Jessy Lin, an MIT senior double-majoring in electrical engineering and computer science and in philosophy.

I think, therefore I code

Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good.

November 15, 2018

MIT Media Lab researchers have developed a wireless system that leverages the cheap RFID tags already on hundreds of billions of products to sense potential food contamination.

Putting food-safety detection in the hands of consumers

Simple, scalable wireless system uses the RFID tags on billions of products to sense contamination.

November 14, 2018

“The college is our way of building a powerful framework and environment for research and collaborations that involve computing and that are occurring across disciplines," says School of Engineering Dean Anantha P. Chandrakasan, the Vannevar Bush Professor of Electrical Engineering and Computer Science.

Bridge to the future of engineering

The School of Engineering’s faculty leadership weigh in on what the MIT Stephen A. Schwarzman College of Computing will mean for their students and faculty.

November 11, 2018

By analyzing the win/loss records of thousands of fantasy players over multiple seasons, MIT researchers have found that the game of fantasy football is inherently a contest that rewards skill.

Study: There’s real skill in fantasy sports

Researchers find most fantasy sports are based on skill, not luck.

November 7, 2018

A new machine-learning model that predicts whether ER patients suffering from sepsis may need to be switched to certain medications could help guide clinicians in sepsis care.

Machine-learning system could aid critical decisions in sepsis care

Model predicts whether ER patients suffering from sepsis urgently need a change in therapy.