Mechanical engineering

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SMART launches new Wearable Imaging for Transforming Elderly Care research group

3-D printing, Aging, ai, AI (Artificial Intelligence), Artificial Intelligence, Civil and environmental engineering, Collaboration, Global, Health care, Health sciences and technology, Imaging, International initiatives, Invention, Mechanical engineering, Research, School of Engineering, Singapore-MIT Alliance for Research and Technology (SMART), Wearable sensors

What if ultrasound imaging is no longer confined to hospitals? Patients with chronic conditions, such as hypertension and heart failure, could be monitored continuously in real-time at home or on the move, giving health care practitioners ongoing clinical insights instead of the occasional snapshots — a scan here and a check-up there. This shift from […]

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“Robot, make me a chair”

Architecture, Artificial Intelligence, Computer science and technology, Design, Fabrication, Machine Learning, Mechanical engineering, Research

Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don’t lend themselves to brainstorming or rapid prototyping.In an effort to make design faster and more accessible

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Deep-learning model predicts how fruit flies form, cell by cell

3-D, Animals, Artificial Intelligence, Biology, Cells, Computer vision, Imaging, Machine Learning, Mechanical engineering, National Institutes of Health (NIH), Research, School of Engineering, Self-assembly

During early development, tissues and organs begin to bloom through the shifting, splitting, and growing of many thousands of cells.A team of MIT engineers has now developed a way to predict, minute by minute, how individual cells will fold, divide, and rearrange during a fruit fly’s earliest stage of growth. The new method may one

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New MIT program to train military leaders for the AI age

Artificial Intelligence, Classes and programs, Computer science and technology, cybersecurity, Department of Defense (DoD), Electrical engineering and computer science (EECS), Logistics, Mechanical engineering, MIT Schwarzman College of Computing, Navy, Oceanography and ocean engineering, School of Engineering, Security studies and military, Supply chains

Artificial intelligence can enhance decision-making and enable action with reduced risk and greater precision, making it a critical tool for national security. A new program offered jointly by the MIT departments of Mechanical Engineering (Course 2, MechE) and Electrical Engineering and Computer Science (Course 6, EECS) will provide breadth and depth in technical studies for

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MIT researchers “speak objects into existence” using AI and robotics

Architecture, Artificial Intelligence, Center for Bits and Atoms, Computer science and technology, Design, Electrical engineering and computer science (EECS), Fabrication, Human-computer interaction, Mechanical engineering, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, Natural Language Processing, Research, Robotics, School of Architecture and Planning, School of Engineering

Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating

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A smarter way for large language models to think about hard problems

Algorithms, Artificial Intelligence, Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions.But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions

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New control system teaches soft robots the art of staying safe

Artificial Intelligence, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), IDSS, Laboratory for Information and Decision Systems (LIDS), Machine Learning, Mechanical engineering, MIT Schwarzman College of Computing, Research, Robotics, Safety, School of Engineering

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses

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MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway

Artificial Intelligence, Center for International Studies, Classes and programs, Collaboration, data, Environment, Europe, Food, Global, Industry, International initiatives, Internships, Machine Learning, Mechanical engineering, MISTI, MIT Schwarzman College of Computing, MIT Sea Grant, Oceanography and ocean engineering, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, Sensors, Software, Students, UAV, Undergraduate, Undergraduate Research Opportunities Program (UROP), Water

Norway is the world’s largest producer of farmed Atlantic salmon and a top exporter of seafood, while the United States remains the largest importer of these products, according to the Food and Agriculture Organization. Two MIT students recently traveled to Trondheim, Norway to explore the cutting-edge technologies being developed and deployed in offshore aquaculture. Beckett Devoe,

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Five with MIT ties elected to National Academy of Medicine for 2025

Alumni/ae, Artificial Intelligence, Awards, honors and fellowships, Biology, Computer Science and Artificial Intelligence Laboratory (CSAIL), Disease, Electrical engineering and computer science (EECS), Faculty, Harvard-MIT Health Sciences and Technology, Health care, Health sciences and technology, Koch Institute, Mechanical engineering, MIT Schwarzman College of Computing, Physics, Ragon Institute, School of Engineering, School of Science, Vaccines, Wireless

On Oct. 20 during its annual meeting, the National Academy of Medicine announced the election of 100 new members, including MIT faculty members Dina Katabi and Facundo Batista, along with three additional MIT alumni.Election to the National Academy of Medicine (NAM) is considered one of the highest honors in the fields of health and medicine,

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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Artificial Intelligence, Batteries, Carbon dioxide, Chemistry, Cleaner industry, Climate change, Collaboration, DMSE, Electric grid, Energy, Energy storage, Faculty, government, infrastructure, Innovation and Entrepreneurship (I&E), Investments, Mechanical engineering, MIT Energy Initiative, Policy, Renewable energy, School of Engineering, School of Science, Special events and guest speakers, Startups, Students, Sustainability, The Engine, Transportation

“We’re here to talk about really substantive changes, and we want you to be a participant in that,” said Desirée Plata, the School of Engineering Distinguished Professor of Climate and Energy in MIT’s Department of Civil and Environmental Engineering, at Energizing@MIT: the MIT Energy Initiative’s (MITEI) Annual Research Conference that was held on Sept. 9-10.Plata’s

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