Classes and programs

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Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code and documentation; machine-learning algorithms can monitor performance and detect security vulnerabilities. But when the task is to conceive, design, and make a complex physical system such as a jet engine, are those AI tools equally […]

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How MIT students are helping to prevent cyberattacks

In May 2019, the government of Baltimore, Maryland, fell into chaos. Cybercriminals had locked the city out of many of its critical files and demanded payment to decrypt them. The city refused to pay ransom. The attack incapacitated a swath of services, including real estate transactions and bill payment, and recovery costs soared into the

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MIT’s Initiative for New Manufacturing builds momentum

In May, the Initiative for New Manufacturing (INM) marked its first anniversary with MIT Manufacturing Week, four days of events that attracted more than 800 registrants including students, faculty, industry leaders, investors, entrepreneurs, and government officials to explore topics ranging from how companies are using AI on factory floors to the role of startups in

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Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”

“Artificial intelligence is not just for computer scientists anymore; it’s going to permeate every aspect of our lives and influence every business,” says MIT President Sally Kornbluth. The world is reaching an inflection point with artificial intelligence: over half of U.S. adults use generative AI — with 12 percent using it daily at work — and 88 percent

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Q&A: Expanding MIT’s global reach through Universal Learning

MIT’s Universal Learning is a new initiative from MIT Open Learning designed to prepare learners everywhere to tackle complex global challenges through boundary-crossing thinking. Universal Learning offerings combine subject matter expertise from MIT faculty and experts and Open Learning’s more than 25 years of innovation in online education to deliver a learning experience centered on real-world

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A philosophy of work

What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the role work plays in our lives and its impact on our well-being. Masny sees numerous benefits to work, beyond a paycheck. It’s a space for people to develop excellence at something, make a social contribution, gain

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Seeing sounds

Growing up in Mexico and Texas, Mariano Salcedo ’25 couldn’t readily indulge his passion for creating music. “There are no bands in Mexican public schools,” he says. While some families could pay for instruments and lessons, others, like Salcedo’s, were less fortunate.“I’ve always loved music,” he continues. “I was a listener.” Salcedo, the Alex Rigopulos (1992)

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MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity

The following is a joint announcement from the MIT School of Architecture and Planning, MIT Schwarzman College of Computing, Hasso Plattner Institute, and Hasso Plattner Foundation.The MIT Morningside Academy for Design (MAD), MIT Schwarzman College of Computing, Hasso Plattner Institute (HPI), and Hasso Plattner Foundation celebrated the launch of the MIT and HPI AI and

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New MIT class uses anthropology to improve chatbots

Young adults growing up in the attention economy — preparing for adult life, with social media and chatbots competing for their attention — can easily fall into unhealthy relationships with digital platforms. But what if chatbots weren’t mere distractions from real life? Could they be designed humanely, as moral partners whose digital goal is to

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Counter intelligence

How can artificial intelligence step out of a screen and become something we can physically touch and interact with?That question formed the foundation of class 4.043/4.044 (Interaction Intelligence), an MIT course focused on designing a new category of AI-driven interactive objects. Known as large language objects (LLOs), these physical interfaces extend large language models into

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