Machine learning

Building site identified for MIT Stephen A. Schwarzman College of Computing

Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.

December 19, 2018

Aleksander Madry is a leader in the emerging field of building guarantees into artificial intelligence, which has nearly become a branch of machine learning in its own right.

3Q: Aleksander Madry on building trustworthy artificial intelligence

A recent MIT symposium explores methods for making artificial intelligence systems more reliable, secure, and transparent.

December 14, 2018

Yoel Fink, CEO of AFFOA, holds up a fabric with optical communications capabilities during a presentation on what he calls “fabrics as a service” at the annual MIT Industrial Liaison Program (ILP) Research and Development Conference on Nov. 15.

Opportunities for materials innovation abound

Faculty researchers share insights into new capabilities at the annual Industrial Liaison Program Research and Development Conference.

December 14, 2018

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 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