School of Engineering

Twenty-four individuals and one team were awarded MIT Excellence Awards — the highest awards for staff at the Institute — at a well-attended and energetic ceremony the afternoon of June 8 in Kresge Auditorium. In addition to the Excellence Awards, two community members were honored with the Collier Medal and Staff Award for Distinction in Service. The Excellence Awards, Collier …

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 tuned instrument, susceptible to losing its harmony. After all, we’re faced with an ever-changing and relentless natural world: pathogens, viruses, …

Cloud gaming, which involves playing a video game remotely from the cloud, witnessed unprecedented growth during the lockdowns and gaming hardware shortages that occurred during the heart of the Covid-19 pandemic. Today, the burgeoning industry encompasses a $6 billion global market and more than 23 million players worldwide. However, interdevice synchronization remains a persistent problem in cloud gaming and the …

The MIT Stephen A. Schwarzman College of Computing named Armando Solar-Lezama as the inaugural Distinguished Professor of Computing, effective July 1. Solar-Lezama is the first person appointed to this position generously endowed by Professor Jae S. Lim of the Department of Electrical Engineering and Computer Science (EECS). Established in the MIT Schwarzman College of Computing, the chair is being awarded …

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 could possibly take — turning on the faucet, flushing the toilet, emptying out the flour container, and so on. But …

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 in diagnosis. But there’s a problem. To teach their model how to predict cancer, they showed it millions of real …

For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types. A new approach developed by researchers at MIT and Dana-Farber Cancer Institute may make it easier to identify the sites …

Stop me if you’ve seen this before: a black and white pixelated square in lieu of a physical menu at a restaurant. QR codes are seemingly ubiquitous in everyday life. Whether you see one on a coupon at the grocery store, a flyer on a bulletin board, or the wall at a museum exhibit, each code contains embedded data. Unfortunately, …

Through a collaboration between M’Care, a 2021 Health Security and Pandemics Solver team, and students from MIT, the landscape of child health care in Nigeria could undergo a transformative change, wherein the power of data is harnessed to improve child health outcomes in economically disadvantaged communities. M’Care is a mobile application of Promane and Promade Limited, developed by Opeoluwa Ashimi, …

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 in Health (Jameel Clinic) addressed questions surrounding the use of AI in health through their inaugural summer program focused on …

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 chest, using your whole body to manipulate the box. Humans are generally good at whole-body manipulation, but robots struggle with …

Cellular solids are materials composed of many cells that have been packed together, such as a honeycomb. The shape of those cells largely determines the material’s mechanical properties, including its stiffness or strength. Bones, for instance, are filled with a natural material that enables them to be lightweight, but stiff and strong. Inspired by bones and other cellular solids found …

The MIT Stephen A. Schwarzman College of Computing has awarded seed grants to seven projects that are exploring how artificial intelligence and human-computer interaction can be leveraged to enhance modern work spaces to achieve better management and higher productivity. Funded by Andrew W. Houston ’05 and Dropbox Inc., the projects are intended to be interdisciplinary and bring together researchers from …

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 of misdiagnoses or inappropriate treatment when critical details are obscured from the physician. But researchers at MIT may have developed …

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 early researchers to take up this issue, and she’s been exploring it ever since. In a new paper, Ghassemi, now …

Engineers are constantly searching for materials with novel, desirable property combinations. For example, an ultra-strong, lightweight material could be used to make airplanes and cars more fuel-efficient, or a material that is porous and biomechanically friendly could be useful for bone implants. Cellular metamaterials — artificial structures composed of units, or cells, that repeat in various patterns — can help …

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 DALL-E and Midjourney, celebrated for their impressive precision and user-friendly interfaces, have made the production of hyper-realistic images relatively effortless. …

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 mug from your kitchen table, it might not recognize your mug (perhaps because this mug is painted with an unusual …

From an early age, Will Sussman’s family instilled in him the value of education. “I don’t think it’s a coincidence that most of my grandparents were teachers,” he says. Now, at MIT, “The energy of a campus, bustling with students, in turn energizes me.” A second-year doctoral student in electrical engineering and computer science and affiliate of the Computer Science …

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 to synthesize and test in the lab. Researchers from MIT and the MIT-Watson AI Lab have developed a new, unified …