How Artificial Intelligence is Reshaping Generative 3D Modeling
Users can upload a photo, remove the background with one click, and make changes; it doesn’t take any skill set to make it possible. One of the limitations of these generic creators is that they might not understand your brief the way your human designers do. You’ll have to re-generate and re-generate it several times to get closer to what you’re looking for. This is not too terrible since the output is immediate, but let’s say the generative design just doesn’t “get it,” and you never get anything even remotely close to what you need. You’re back to the literal and figurative drawing board with a human.
- Assuming that such issues are addressed, however, LLMs could rekindle the field of knowledge management and allow it to scale much more effectively.
- Convergence Consulting’s AI-driven generative design solutions have been successfully implemented in numerous projects, resulting in tangible benefits for its clients.
- While it can be a powerful tool for certain design applications, there may be situations where traditional design methods are still more appropriate.
- This makes it easier to decide what you want and communicate your vision to a customer.
The generative design process involves an iterative loop where the AI system generates multiple design options, evaluates their performance, and provides feedback to refine subsequent iterations. This iterative approach helps engineers identify optimal design solutions, resulting in higher-performing and more efficient products. Liberated from the tedious trial and error of refining their designs, Yakov Livshits engineers can focus on what their design needs to accomplish rather than how the design will be realized. The more the design process is automated, the less innovation depends on the skill of the engineer. With full generative design, even inexperienced engineers will be able to bring their ideas to life without spending years mastering physics, manufacturing techniques or structural analysis.
Computers, in fact, have now designed furniture, bicycles, and even drones. The buzzword is “generative design.” In this process, designers and engineers are no longer using computers simply as passive machines. Instead, they are using AI algorithms and cloud computing to rapidly develop solutions with an infinite number of alternatives. As a result, engineers can optimize their designs for variables beyond mass, including fluid dynamics, thermal properties and fabrication methods. At the same time, AI has progressed to the point where entire systems can be overhauled, going beyond the piecemeal improvements to individual components afforded by topology optimization.
Despite all that glitter, it is important to mention that generative design isn’t a simple no-brainer. Introducing generative design to your company or engineering department requires readiness and change among multiple stakeholders. It not only creates new products, but completely disrupts traditional structures. Consider the changes in the internal product lifecycle management (PLM) system when, for instance, simulation engineers or variant management becomes obsolete. Additionally, the challenge of ramping up engineers with generative design applications should not be underestimated.
As a forward-thinking company at the forefront of technological advancements, Convergence Consulting has embraced AI-driven generative design as a core component of its engineering process. By integrating cutting-edge AI algorithms and sophisticated simulation tools, Convergence Consulting has unlocked the full potential of generative design to deliver exceptional value to its clients. It’s also important to have a team of designers and engineers who are familiar with the generative design software and can provide feedback and guidance throughout the process. Finally, It’s important to evaluate and test the generated designs thoroughly to ensure that they meet all the necessary requirements and are feasible to manufacture.
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.
Generative design also encourages customization in that it can quickly generate new design variations based on parameter adjustments. With further increases in computational power, generative design be able to simulate the entire lifecycle of a product and extend its peak performance. The more real-world IoT data augments the simulation, the more true-to-life the simulation becomes. The traditional process of designing, testing and iterating falls by the wayside, replaced by generative design’s self-improving feedback loop.
By leveraging the benefits of generative design, manufacturers can optimize their processes and stay ahead in the highly competitive manufacturing industry. Generative design has also extended its transformative Yakov Livshits capabilities to product development and manufacturing processes. Generative design tools suggest intricate, lightweight designs to manufacturers, reducing material use and improving product performance.
While text-generating AIs like ChatGPT have grabbed headlines most recently, the mainstreaming of generative AI arguably kicked off with the emergence of visual generative AI tools like DALL-E and Midjourney in 2022. Both turn text prompts into images depicting all sorts of dreamlike settings or surreal scenarios, sometimes looking nearly indistinguishable from art produced by human hands and minds. Maket enables architects and interior designers to instantly generate thousands of architectural plans that are aligned with their input parameters and constraints. This generative design tool offers real-time collaboration where multiple key stakeholders can interact with each other about a design on the same platform. You can specify input parameters like room dimensions, adjacency, and custom land/building constraints, and Maket returns multiple AI-generated floor plans.
Printing and Generative Design
However, in recent times, the emergence of AI has created a tectonic shift in the way designs are created. AI has augmented and accelerated the design process in ways previously unimaginable. Under Armour leveraged generative design algorithms to create a shoe with an optimal mix of flexibility and stability for all types of athletic training—inspired by tree roots.