How to help high schoolers prepare for the rise of artificial intelligence

Should artificial intelligence be allowed to make care decisions for patients? Though the future of AI may conjure up doomsday visions of robots and computers intent on rendering human existence superfluous, the MIT Abdul Latif Jameel Clinic for Machine Learning …

AI helps robots manipulate objects with their whole bodies

Imagine you want to carry a large, heavy box up a flight of stairs. You might spread your fingers out and lift that box with both hands, then hold it on top of your forearms and balance it against your …

Machine-learning system based on light could yield more powerful, efficient large language models

ChatGPT has made headlines around the world with its ability to write essays, email, and computer code based on a few prompts from a user. Now an MIT-led team reports a system that could lead to machine-learning programs several orders …

MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans

Compared to other imaging modalities like X-rays or CT scans, MRI scans provide high-quality soft tissue contrast. Unfortunately, MRI is highly sensitive to motion, with even the smallest of movements resulting in image artifacts. These artifacts put patients at risk …

How machine learning models can amplify inequities in medical diagnosis and treatment

Prior to receiving a PhD in computer science from MIT in 2017, Marzyeh Ghassemi had already begun to wonder whether the use of AI techniques might enhance the biases that already existed in health care. She was one of the …

AI models are powerful, but are they biologically plausible?

Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human brain.

About six years ago, scientists discovered a …

Using AI to protect against AI image manipulation

As we enter a new era where technologies powered by artificial intelligence can craft and manipulate images with a precision that blurs the line between reality and fabrication, the specter of misuse looms large. Recently, advanced generative models such as …

A simpler method for learning to control a robot

Researchers from MIT and Stanford University have devised a new machine-learning approach that could be used to control a robot, such as a drone or autonomous vehicle, more effectively and efficiently in dynamic environments where conditions can change rapidly.

This …

A faster way to teach a robot

Imagine purchasing a robot to perform household tasks. This robot was built and trained in a factory on a certain set of tasks and has never seen the items in your home. When you ask it to pick up a …

Armando Solar-Lezama named inaugural Distinguished College of Computing Professor

The MIT Stephen A. Schwarzman College of Computing named Armando Solar-Lezama as the inaugural Distinguished College of Computing Professor, effective July 1. 

Solar-Lezama is the first person appointed to this position generously endowed by Professor Jae S. Lim of the …

AI helps household robots cut planning time in half

Your brand new household robot is delivered to your house, and you ask it to make you a cup of coffee. Although it knows some basic skills from previous practice in simulated kitchens, there are way too many actions it …

A new way to look at data privacy

Imagine that a team of scientists has developed a machine-learning model that can predict whether a patient has cancer from lung scan images. They want to share this model with hospitals around the world so clinicians can start using it …

Generative AI imagines new protein structures

Biology is a wondrous yet delicate tapestry. At the heart is DNA, the master weaver that encodes proteins, responsible for orchestrating the many biological functions that sustain life within the human body. However, our body is akin to a finely …

Learning the language of molecules to predict their properties

Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular properties and narrow down the molecules they need …

Researchers teach an AI to write better chart captions

Chart captions that explain complex trends and patterns are important for improving a reader’s ability to comprehend and retain the data being presented. And for people with visual disabilities, the information in a caption often provides their only means of …

Computer vision system marries image recognition and generation

Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. Historically, these functions have stood separate, akin to the disparate acts of a chef who is good at creating dishes (generation), and …

Day of AI curriculum meets the moment

MIT Responsible AI for Social Empowerment and Education (RAISE) recently celebrated the second annual Day of AI with two flagship local events. The Edward M. Kennedy Institute for the U.S. Senate in Boston hosted a human rights and data policy-focused …

MIT-Pillar AI Collective announces first seed grant recipients

The MIT-Pillar AI Collective has announced its first six grant recipients. Students, alumni, and postdocs working on a broad range of topics in artificial intelligence, machine learning, and data science will receive funding and support for research projects that could …

Envisioning the future of computing

How will advances in computing transform human society?

MIT students contemplated this impending question as part of the Envisioning the Future of Computing Prize — an essay contest in which they were challenged to imagine ways that computing technologies could …

Defining the public interest in new technologies

How are waves of disruptive technologies, such as more advanced versions of artificial intelligence systems, changing the way we work, live, and play? Are there pathways that academics, practitioners, innovators, and entrepreneurs ought to be pursuing to ensure that the …

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