Design
Design

Design

Artificial Intelligence Design Graduate, postdoctoral Health sciences and technology Human-computer interaction Independent Activities Period Mechanical engineering Nanoscience and nanotechnology Oceanography and ocean engineering Profile School of Engineering Spaceflight Sports analytics Students Water

Exploring frontiers of mechanical engineering

MIT Department of Mechanical Engineering grad students are undertaking a broad range of innovative research projects.

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Using AI to discover stiff and tough microstructures

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

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Q&A: A blueprint for sustainable innovation

Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.

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The creative future of generative AI

An MIT panel charts how artificial intelligence will impact art and design.

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To excel at engineering design, generative AI must learn to innovate, study finds

AI models that prioritize similarity falter when asked to design something completely new.

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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Jackson Jewett wants to design buildings that use less concrete

The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.

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Integrating humans with AI in structural design

A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.