What does the future hold for generative AI?

Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week, keynote speaker and iRobot co-founder Rodney Brooks warned attendees against uncritically overestimating the capabilities of this emerging technology, which underpins …

What does the future hold for generative AI?

Speaking at the “Generative AI: Shaping the Future” symposium on Nov. 28, the kickoff event of MIT’s Generative AI Week, keynote speaker and iRobot co-founder Rodney Brooks warned attendees against uncritically overestimating the capabilities of this emerging technology, which underpins …

Generating opportunities with generative AI

Talking with retail executives back in 2010, Rama Ramakrishnan came to two realizations. First, although retail systems that offered customers personalized recommendations were getting a great deal of attention, these systems often provided little payoff for retailers. Second, for many …

Generating opportunities with generative AI

Talking with retail executives back in 2010, Rama Ramakrishnan came to two realizations. First, although retail systems that offered customers personalized recommendations were getting a great deal of attention, these systems often provided little payoff for retailers. Second, for many …

Institute Professor Daron Acemoglu Wins A.SK Social Science Award

Daron Acemoglu, Institute Professor and the Elizabeth and James Killian Professor of Economics in MIT’s School of Arts, Humanities, and Social Sciences, is the 2023 recipient of the WZB Berlin Social Science Center’s A.SK Social Science Award, one of the …

MIT scholars awarded seed grants to probe the social implications of generative AI

In July, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.”

Over the next month, they received an influx …

Autonomous innovations in an uncertain world

MIT Professor Jonathan How’s research interests span the gamut of autonomous vehicles — from airplanes and spacecraft to unpiloted aerial vehicles (UAVs, or drones) and cars. He is particularly focused on the design and implementation of distributed robust planning algorithms …

Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology has selected three new research projects that will receive support from the initiative. The research projects aim to accelerate progress in meeting complex societal needs through new business convergence insights …

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 …

3 Questions: Honing robot perception and mapping

Walking to a friend’s house or browsing the aisles of a grocery store might feel like simple tasks, but they in fact require sophisticated capabilities. That's because humans are able to effortlessly understand their surroundings and detect complex information about

David Autor named NOMIS 2023 Distinguished Scientist

David H. Autor, Ford Professor of Economics at MIT, has been recognized as one of two 2023 NOMIS Distinguished Scientists for his significant contributions and ongoing research work to understand the effects of technological change and globalization on jobs and …

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 …

Bringing the social and ethical responsibilities of computing to the forefront

There has been a remarkable surge in the use of algorithms and artificial intelligence to address a wide range of problems and challenges. While their adoption, particularly with the rise of AI, is reshaping nearly every industry sector, discipline, and …

Celebrating the impact of IDSS

The “interdisciplinary approach” is something that has been lauded for decades for its ability to break down silos and create new integrated approaches to research.

For Munther Dahleh, founding director of the MIT Institute for Data, Systems, and Society (IDSS), …

An AI challenge only humans can solve

The Dark Ages were not entirely dark. Advances in agriculture and building technology increased Medieval wealth and led to a wave of cathedral construction in Europe. However, it was a time of profound inequality. Elites captured virtually all economic gains. …

3 Questions: Jacob Andreas on large language models

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

Understanding our place in the universe

Brian Nord first fell in love with physics when he was a teenager growing up in Wisconsin. His high school physics program wasn’t exceptional, and he sometimes struggled to keep up with class material, but those difficulties did nothing to …

Detailed images from space offer clearer picture of drought effects on plants

“MIT is a place where dreams come true,” says César Terrer, an assistant professor in the Department of Civil and Environmental Engineering. Here at MIT, Terrer says he’s given the resources needed to explore ideas he finds most exciting, and …

MIT professor to Congress: “We are at an inflection point” with AI

Government should not “abdicate” its responsibilities and leave the future path of artificial intelligence solely to Big Tech, Aleksander Mądry, the Cadence Design Systems Professor of Computing at MIT and director of the MIT Center for Deployable Machine Learning, told …

Unpacking the “black box” to build better AI models

When deep learning models are deployed in the real world, perhaps to detect financial fraud from credit card activity or identify cancer in medical images, they are often able to outperform humans.

But what exactly are these deep learning models …

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