MIT Schwarzman College of Computing

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 …

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 …

A savvy hacker can obtain secret information, such as a password, by observing a computer program’s behavior, like how much time that program spends accessing the computer’s memory. Security approaches that completely block these “side-channel attacks” are so computationally expensive that they aren’t feasible for many real-world systems. Instead, engineers often apply what are known as obfuscation schemes that seek …

Understanding artificial intelligence and how it relates to matters of national security has become a top priority for military and government leaders in recent years. A new three-day custom program entitled “Artificial Intelligence for National Security Leaders” — AI4NSL for short — aims to educate leaders who may not have a technical background on the basics of AI, machine learning, …

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 understanding the chart. But writing effective, detailed captions is a labor-intensive process. While autocaptioning techniques can alleviate this burden, they …

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 a connoisseur who is good at tasting dishes (recognition). Yet, one can’t help but wonder: What would it take to …

A robot manipulating objects while, say, working in a kitchen, will benefit from understanding which items are composed of the same materials. With this knowledge, the robot would know to exert a similar amount of force whether it picks up a small pat of butter from a shadowy corner of the counter or an entire stick from inside the brightly …

A three-year recipient of MIT’s Emerson Classical Vocal Scholarships, senior Ananya Gurumurthy recalls getting ready to step onto the Carnegie Hall stage to sing a Mozart opera that she once sang with the New York All-State Choir. The choir conductor reminded her to articulate her words and to engage her diaphragm. “If you don’t project your voice, how are people …

MIT associate professors Ellen Roche of the Department of Mechanical Engineering (MechE) and Justin Solomon of the Department of Electrical Engineering and Computer Science (EECS) have been named the 2023 winners of MIT’s annual Harold E. Edgerton Faculty Achievement Award. Established in fall 1982, the award exists as a permanent tribute to the late Institute Professor Emeritus Harold E. Edgerton …

Yael Tauman Kalai PhD ’06, an MIT Department of Electrical Engineering and Computer Science (EECS) adjunct professor, member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior principal researcher at Microsoft Research has been awarded the 2022 ACM Prize in Computing for “breakthroughs in verifiable delegation of computation and fundamental contributions to cryptography” by the Association for …

Sometime in 2019, MIT PhD student Ajay Brahmakshatriya formulated a simple, though still quite challenging, goal. He wanted to make it possible for people who had expertise in a particular domain — such as climate modeling, bioinformatics, or architecture — to write their own programming languages, so-called domain-specific languages (or DSLs), even if they had little or no experience in …

If you've ever played soccer with a robot, it's a familiar feeling. Sun glistens down on your face as the smell of grass permeates the air. You look around. A four-legged robot is hustling toward you, dribbling with determination. While the bot doesn’t display a Lionel Messi-like level of ability, it's an impressive in-the-wild dribbling system nonetheless. Researchers from MIT's …

Thirteen MIT undergraduates, graduate students, and alumni have been awarded Fulbright fellowships and will embark on projects overseas in the 2023-24 grant year. Four other MIT affiliates were offered awards but declined them to pursue other opportunities. Sponsored by the U.S. Department of State, the Fulbright U.S. Student Program offers American citizen students and recent alumni year-long grants for independent …

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation: drones. But these aren’t your typical flying bots, humming around like mechanical bees. Rather, they’re avian-inspired marvels that soar through the sky, guided by liquid neural …

The emergence of generative artificial intelligence has ignited a deep philosophical exploration into the nature of consciousness, creativity, and authorship. As we bear witness to new advances in the field, it’s increasingly apparent that these synthetic agents possess a remarkable capacity to create, iterate, and challenge our traditional notions of intelligence. But what does it really mean for an AI …

The advent of generative artificial intelligence models like ChatGPT has prompted renewed calls for AI in health care, and its support base only appears to be broadening. The second annual MIT-MGB AI Cures Conference, hosted on April 24 by the Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic), saw its attendance nearly double this year, with over …

The National Academy of Sciences has elected 120 members and 23 international members, including five faculty members from MIT. Joshua Angrist, Gang Chen, Catherine Drennan, Dina Katabi, and Gregory Stephanopoulos were elected in recognition of their “distinguished and continuing achievements in original research.” Membership to the National Academy of Sciences is one of the highest honors a scientist can receive …

Words, data, and algorithms combine, An article about LLMs, so divine. A glimpse into a linguistic world, Where language machines are unfurled. It was a natural inclination to task a large language model (LLM) like CHATGPT with creating a poem that delves into the topic of large language models, and subsequently utilize said poem as an introductory piece for this …

In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content policies. But researchers from MIT and elsewhere have found that these models often do not replicate human decisions about rule violations. If models are not trained with the right data, they …