Mechanical engineering
Mechanical engineering

Mechanical engineering

3-D printing Artificial Intelligence Assistive technology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical Engineering & Computer Science (eecs) machine learning Maker movement Mechanical engineering MIT Schwarzman College of Computing Research School of Engineering

AI-driven tool makes it easy to personalize 3D-printable models

With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

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A pose-mapping technique could remotely evaluate patients with cerebral palsy

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.

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A. Michael West: Advancing human-robot interactions in health care

When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.

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Making life friendlier with personal robots

Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.

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Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

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AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

Artificial Intelligence Autonomous vehicles Computer science and technology Data Drones IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing NASA Physics Research Robotics Robots School of Engineering

A simpler method for learning to control a robot

Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

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MIT scientists build a system that can generate AI models for biology research

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

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Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

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MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.