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A better way to turn 2D designs into 3D models for rapid prototyping

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer modeling, Computer science and technology, Design, Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, Research, School of Engineering, Systems design

Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those components will perform in realistic situations, they’ll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests. Researchers from MIT and elsewhere have […]

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Helping AI models to meet the real world

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Business and management, Computer science and technology, data, Electrical engineering and computer science (EECS), Faculty, IDSS, Innovation and Entrepreneurship (I&E), Laboratory for Information and Decision Systems (LIDS), MIT intellectual property, MIT Schwarzman College of Computing, Profile, Research, School of Engineering, Startups

Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in many cases, they lack the detailed, specific information about the organization itself, limiting the usefulness of those tools. Devavrat Shah, a principal investigator at MIT’s Laboratory for Information and Decision Systems (LIDS), faculty member with the

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

3-D printing, Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Aircraft, Artificial Intelligence, Classes and programs, Contests and academic competitions, Design, Education, teaching, academics, Independent Activities Period, Lincoln Laboratory, Logistics, Machine Learning, Mechanical engineering, Robotics, School of Engineering, STEM education, Students, Undergraduate

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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AI agents create virtual playgrounds to help robots get crucial training data

3-D, ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, School of Engineering, Simulation

Robots walking down the street, surrounded by astounded onlookers, is an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach

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New method aims to keep kids safe from illegal AI-generated content

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer science and technology, ethics, Human-computer interaction, Institute for Medical Engineering and Science (IMES), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Privacy, Public health, Research, School of Engineering

With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for their task, such as generating product renderings in a certain artistic style. But these models also find their way into the hands of nefarious actors who may optimize them to produce illegal content, like hate speech

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Tiny robot boats build floating structures

ai, AI (Artificial Intelligence), Architecture, Artificial Intelligence, Autonomous vehicles, Bioinspiration, Cities, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), infrastructure, Machine Learning, MIT Schwarzman College of Computing, MIT Sea Grant, Research, Robotics, School of Architecture and Planning, School of Engineering, Senseable City Lab, Transportation, Urban studies and planning

Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site.Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart, and reassemble into something new, all with

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Toward a future that preserves benefits of neurotechnology for all

ai, AI (Artificial Intelligence), Artificial Intelligence, Awards, honors and fellowships, Chemistry, Contests and academic competitions, Electrical engineering and computer science (EECS), ethics, Harvard-MIT Health Sciences and Technology, Human-computer interaction, IDSS, Law, MIT Schwarzman College of Computing, Neuroscience, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Students, Technology and policy, Technology and society

As advanced medical technology gets closer to hitting consumer markets, the need for guardrails on protected usage should increase. What might begin as a neural implant to aid in communication could become a device used to police one’s innermost thoughts.Intrigued by the far-reaching benefits and risks of neural implants, Rachel Sava, a PhD candidate in

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Q&A: What is agentic AI today, and what do we want it to be?

ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, data, Electrical engineering and computer science (EECS), Human-computer interaction, Interview, Machine Learning, MIT Schwarzman College of Computing, School of Engineering

The deployment of automated software systems called AI agents has recently exploded. A November 2025 report by MIT Sloan School of Management and Boston Consulting Group found that 35 percent of surveyed businesses had already deployed AI agents, while another 44 percent planned to implement agentic AI soon. To understand the fundamentals and potential impacts of these

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Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

ai, AI (Artificial Intelligence), Artificial Intelligence, Arts, Electrical engineering and computer science (EECS), Electronics, Graduate, postdoctoral, Human-computer interaction, Machine Learning, Media Lab, MIT Schwarzman College of Computing, Music, Music and theater arts, Music technology, Performances, School of Engineering, School of Humanities Arts and Social Sciences, Special events and guest speakers

The MIT Music Technology and Computation (MTC) Graduate Program — launched in fall 2024 as a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS), and the School of Engineering (SoE) — presented its inaugural MIT Music Technology Research Showcase on May 13. The event played

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LLMs help robots understand vague instructions and focus on key details

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, automation, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, Natural Language Processing, Research, Robotics, School of Engineering

Imagine working at a warehouse or office sometime in the near future, and you’re asked to help a new trainee learn the basics of their job. The catch: It’s a robot. To teach them, you might want to play a game of “show and tell” — that is, physically showing how to do something a

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