New MIT class uses anthropology to improve chatbots
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
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.
Architecture students bring new forms of human-machine interaction into the kitchen.
“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.
MIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
To 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.