A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
Read MoreArchitecture students bring new forms of human-machine interaction into the kitchen.
Read MoreHow industry leaders like BMW, Unilever, and Waymo are embracing real-time visibility, digital twins, and agentic AI.
Read More“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.
Read MoreMIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.
Read MoreAn AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
Read MoreThe speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
Read MoreThe virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreTo reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
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