Learn how a leading seating expert has designed their product for circular economy in this case study, focusing on:
Autonomous driving will require automotive companies to carry out more simulations than ever before. 80% of AV testing is done through simulation; having a robust, reliable simulation program is place is crucial to making sure all safety components like airbags and seat belts perform at optimum levels.
Join a distinguished seating simulation expert and he/she share a video demonstration on:
HOW SEAT DESIGN & FUNCTIONALITY WILL NEED TO ADAPT TO MEET FUTURE MOBILITY NEEDS
FORECASTING THE FUTURE OF VEHICLE INTERIORS
We cannot emphasise the importance and value of knowledge sharing, especially on topics that cover two of the seating industry’s greatest challenges. Hearing from one of two presentations will not do justice to these important subjects.
For the next 40-mins, we will take a break from listening to presentations on stage, to encourage dialogue off-stage between experts and peers in the audience.
Rotate between both discussion groups, hear & share successes, lessons learned and spark new ideas
hile Generative AI promises to transform creative work, it is not clear how this will play out. Join this this talk, where three research projects exploring this issue will be introduced.
First, working with TRI collaborators at MIT’s Center for Collective Intelligence, directly comparing the designer’s ideation experience using image search versus different image generation technology.
Second, in TRI’s guided diffusion project, demonstrating how design style can be preserved in engineering-informed AI generation.
Third, in TRI’s design space organization project, showing how machine learning and market research can be brought together to empower wheel stylists to look for new solutions.
Closing with some ideas about the technical challenges and bottlenecks to widespread adoption of Generative AI technologies.
Automotive companies can achieve a great deal of efficiency and cost avoidance by speeding up the process of turning sketches into realistic models.
Join this session if you want to learn how can vehicle manufacturers make use of large language models to come up with user journeys/stories, convert them into like prompts to immediately visualize, and reduce the amount of time spent on sketching new designs.
Join this session to understand how open-source models can be adapted and tailored for use in the automotive industry, providing an in-depth analysis and usage of specialist models for analysis tasks.
Attendees will learn how to train large language models, what investments are needed and how to meet model requirements, and gain insights into natural language processing and how GenAI addresses decoding activity.