Machine learning

An $11.6 million artificial intelligence computing cluster donated by IBM to MIT will come online this fall at the Massachusetts Green High Performance Computing Center (MGHPCC) in Holyoke, Massachusetts.

IBM gives artificial intelligence computing at MIT a lift

Nearly $12 million machine will let MIT researchers run more ambitious AI models.

August 26, 2019

A novel system by MIT researchers automatically “learns” how to allocate data-processing operations across thousands of servers.

Artificial intelligence could help data centers run far more efficiently

MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.

August 21, 2019

Artificial intelligence interfaced with the Large Hadron Collider can lead to higher precision in data analysis, which can improve measurements of fundamental physics properties and potentially lead to new discoveries.

Boosting computing power for the future of particle physics

Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.

August 19, 2019

A new MIT-developed model automates a critical step in using AI for medical decision making, where experts usually identify important features in massive patient datasets by hand. The model was able to automatically identify voicing patterns of people with vocal cord nodules (shown here) and, in turn, use those features to predict which people do and don’t have the disorder.

Automating artificial intelligence for medical decision-making

Model replaces the laborious process of annotating massive patient datasets by hand.

August 5, 2019

A model developed at MIT predicts the cognitive decline of patients at risk for Alzheimer’s disease by forecasting their cognition test scores up to two years in the future, which could help zero in on the right patients to select for clinical trials.

Model predicts cognitive decline due to Alzheimer’s, up to two years out

Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.

August 1, 2019

Assistant Professor Heather Kulik (center) and graduate student Jon Paul Janet (right) are using neural networks coupled with genetic algorithms to examine huge databases of transition metal compounds for potential use in practical devices. Using the same technique, graduate student Aditya Nandy (left) is designing better catalysts for methane conversion reactions.

Finding novel materials for practical devices

MIT researchers use a new machine learning technique to rapidly evaluate new transition metal compounds to identify those that can perform specialized functions.

August 1, 2019

MIT graduate students Logan Engstrom (left) and Andrew Ilyas have published five papers together exploring the vulnerabilities of computer vision systems, and they have half a dozen more in the pipeline.

Why did my classifier just mistake a turtle for a rifle?

Two longtime friends explore how computer vision systems go awry.

July 31, 2019

A course called Machine Learning for Healthcare introduces students to the technical and ethical challenges of using automated tools to diagnose and treat patients.

Want to know what software-driven health care looks like? This class offers some clues.

A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.

July 24, 2019

Prime Minister Mark Rutte of the Netherlands, second from right, front, along with a large Dutch delegation, visits MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Ray and Maria Stata Center on July 19. MIT Professor Frans Kaashoek of CSAIL is second from the left.

Prime Minister Mark Rutte of the Netherlands tours MIT

Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.

July 21, 2019

A new MIT-invented system automatically designs and 3-D prints complex robotic actuators optimized according to an enormous number of specifications, such as appearance and flexibility. To demonstrate the system, the researchers fabricated floating water lilies with petals equipped with arrays of actuators and hinges that fold up in response to magnetic fields run through conductive fluids.

Automated system generates robotic parts for novel tasks

When designing actuators involves too many variables for humans to test by hand, this system can step in.

July 12, 2019

Luis Videgaray PhD ’98, former foreign minister and finance minister of Mexico, is coming to MIT to spearhead an effort that aims to help shape global AI policies, focusing on how such rising technologies will affect people living in all corners of the world.

Visiting lecturer to spearhead project exploring the geopolitics of artificial intelligence

At MIT, Luis Videgaray, alumnus and former foreign minister of Mexico, will launch project to help shape international AI policies.

July 12, 2019

L4DC co-organizer Ali Jadbabaie speaks to a packed room about the future of dynamical and control systems.

IDSS hosts inaugural Learning for Dynamics and Control conference

L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.

July 10, 2019