Machine learning

The RePaint system reproduces paintings by combining two approaches called color-contoning and halftoning, as well as a deep learning model focused on determining how to stack 10 different inks to recreate the specific shades of color.

Reproducing paintings that make an impression

CSAIL's new RePaint system aims to faithfully recreate your favorite paintings using deep learning and 3-D printing.

November 29, 2018

At a recent meeting, the MIT AI Ethics Reading Group debated options for teaching ethics in a traditional computer science curriculum. Postdoc Abby Jaques (left) is developing ethics modules that can be incorporated into existing coursework.

Student group explores the ethical dimensions of artificial intelligence

MIT AI Ethics Reading Group was founded by students who saw firsthand how technology developed with good intentions could be problematic.

November 27, 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

“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

MIT students participating in the Advanced Undergraduate Research Opportunities Program include: (clockwise from top left) Haripriya Mehta, Rohil Verma, Christabel Jemutai Sitienei, Andy Wei, Gabriel Margolis, and Mattie Wasiak.

The many interfaces of computing

A roundup of MIT student research projects offers a glimpse of where computing is going next.

November 11, 2018

Associate Professor Caitlin Mueller presented on creative computing for high performance design in structural engineering.

Highlighting new research opportunities in civil and environmental engineering

At its annual alumni reception, CEE faculty shared innovative research projects ranging from machine learning to regional impacts of climate change.

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.

November 7, 2018

Often, multiple Wikipedia editors will disagree on certain changes to articles or policies.

Why some Wikipedia disputes go unresolved

Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.

November 6, 2018

MIT Provost Martin A. Schmidt at an MIT forum about the new MIT Schwarzman College of Computing.

To build new college, MIT seeks campus and alumni input

Opportunities and new challenges were at the forefront of discussions about the MIT Stephen A. Schwarzman College of Computing.

November 2, 2018

MIT researchers have developed a “semantic parser” that learns through observation to more closely mimic a child’s language-acquisition process, which could greatly extend computing’s capabilities.

Machines that learn language more like kids do

Computer model could improve human-machine interaction, provide insight into how children learn language.

October 31, 2018

The new model measures distances between words with similar meanings in “word embeddings,” and then aligns the words in both embeddings that are most closely correlated by relative distances, meaning they’re most likely to be direct translations of one another.

Model paves way for faster, more efficient translations of more languages

New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.

October 30, 2018

MIT Energy Initiative Director Robert Armstrong welcomes attendees to MITEI’s annual research conference, which featured panels on topics ranging from climate change to energy startups to the critical role artificial intelligence and machine learning can play in developing technology for a low-carbon energy future.

Q&A: Climate change, tough tech startups, and the future of energy intelligence

MIT Energy Initiative Director Robert Armstrong offers his perspective on the takeaways from MITEI’s annual research conference.

October 25, 2018

MIT Task Force on the Work of the Future announces advisory and research boards

Leaders from industry, academia, labor, government, foundations, and other organizations, as well as leading scholars in related fields, will provide guidance.

October 24, 2018

MIT researchers have developed a cryptographic system that could help neural networks identify promising drug candidates in massive pharmacological datasets while keeping the data private, which could enable broader pooling of sensitive pharmacological data for predictive drug discovery.

Cryptographic protocol enables greater collaboration in drug discovery

Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.

October 18, 2018

From left to right: Brian Anthony, principal research scientist at SENSE.nano, director of the Master of Engineering in Manufacturing Program, and co-director of the Medical Electronic Device Realization Center; Ricky Lai, Linda Tang, and Maggie Zhu, representing the Tang family; Martin A. Schmidt, MIT provost; Edward Cunningham PhD ’09; and Jesús de Álamo, director of the Microsystems Technol...

Tang family gift supports MIT.nano, MIT Quest for Intelligence

$20 million gift names imaging suite in new facility, creates catalyst fund.