Don’t miss out on the chance to join top executives in San Francisco on July 11-12 and learn how leaders are integrating and optimizing AI investments for success. Click here to learn more
Toyota Research Institute (TRI) has just unveiled an innovative generative artificial intelligence (AI) tool that aims to enhance the creative process of vehicle designers. The tool enables designers to generate design sketches through text prompts, incorporating precise stylistic attributes such as “sleek,” “SUV-like” and “modern.” Additionally, designers can optimize quantitative performance metrics to create an initial prototype sketch.
The company said this innovation will empower designers to explore their creativity while ensuring efficient and effective design development.
TRI researchers have also published two papers describing how the developed technique can be incorporated into other text-to-image-based generative AI models. These papers shed light on the tool’s image-generation process.
The team merged principles from optimization theory, which is extensively used in computer-aided engineering, with text-to-image-based generative AI. As a result, the algorithm allows designers to optimize engineering constraints while preserving their text-based stylistic prompts for the generative AI process.
Event
Transform 2023
Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.
The design tool produced by TRI allows car designers to create unique vehicle elements such as exterior and interior surfaces, using generative AI. The tool is designed to capture global aesthetic trends and user preferences as inputs, enabling the creation of unique designs tailored to a broad range of needs.
The TRI design tool represents a unique approach to AI development, as it relies on generative as opposed to predictive AI. Rather than relying solely on historical trends and patterns, the tool generates unique solutions based on the parameters it receives. This allows car designers to create high-performing solutions without being confined to single design or style.
As Diane Gwizdalski, TRI’s Research Manager, explained during the design tool’s launch: “This tool gives car designers the tools to quickly and cost-effectively create designs that meet customer preferences. The generative aspect of the design tool means that we are able to offer more unique design solutions in less time and at lower cost.”
The new tool also benefits from Toyota’s existing research into AI, which has utilized machine learning and predictive AI to develop autonomous cars and robotics systems for factories and warehouses. TRI sees the design tool as a natural extension of these projects, expanding their AI capabilities to the automotive design space.
This is the latest example of TRI’s ambitious approach to utilizing AI technology. The design tool is only one example of how TRI is incorporating the power of AI into the automotive industry. This latest innovation demonstrates TRI’s commitment to driving the evolution of the automotive industry.
