Design
Design

Design

Algorithms Artificial Intelligence Computer science and technology Data Design Human-computer interaction Interview machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

3 Questions: Inverting the problem of design

MIT and IBM researchers are creating linkage mechanisms to innovate human-AI kinematic engineering.

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A portable light system that can digitize everyday objects

A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health data and fashion designs.

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Artist and designer Es Devlin awarded Eugene McDermott Award in the Arts at MIT

Exploring biodiversity, linguistic diversity, and collective AI-generated poetry, her work will be honored with a $100K prize, artist residency, and public lecture at MIT in spring 2025.

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HPI-MIT design research collaboration creates powerful teams

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

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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.