TechTalk: Breaking Boundaries with Altair physicsAI
Altair Employee
I recently joined Jim Green on an episode of the AMD TechTalk podcast to discuss how Altair is transforming product and system innovation with its design and simulation platform, Altair® HyperWorks®. We made the podcast so that product developers of all skill levels can discover how Altair's AI-powered engineering solutions are leading the market and delivering unprecedented insights throughout product life cycles. Here are the key takeaways:
1. Simulation software transforms product design.
Simulation is reshaping product design by allowing engineers to test and iterate designs in virtual environments, eliminating the need for time-consuming and costly physical prototypes.
2. The challenge of limited resources.
While powerful, simulations can be resource-intensive to develop and implement, putting them out of reach for some design teams. Some customers can only afford to run one simulation, which means basing key decisions on a single data point.
3. Industries demand faster simulations.
Industries like automotive, aerospace, defense, and electronics are seeking faster simulation methods. Techniques such as morphin, synthetic data generation, size and shape optimization are helping, but they’re not always enough to meet today’s speed demands.
4. Altair® physicsAI™ surpasses limitations.
By leveraging historical data with physicsAI, engineers can make faster decisions for new projects, disrupting the limits of traditional simulation methods.
5. Using data is better than storing it.
Altair's physicsAI uses geometric deep learning to tap the value of existing simulation data. Instead of letting old simulations collect dust, companies can reuse them to accelerate decision-making and optimize future simulation efforts.
6. Simulation acceleration with hardware.
Hardware plays a key role in speeding up simulations. Altair has a history of using many AMD offerings including AMD EPYC-processor-based servers to enhance performance, highlighting the synergy between evolving hardware and software.
7. A powerful combination: engineers, machine learning, and expert decisions.
Altair’s team of industry, engineering, and data science experts who are developing AI and machine learning technologies adhere to three guiding principles:
- Augment design and engineering teams toolkits.
- Replace repetitive, non-value-added tasks with machine learning.
- Harness expert decision making.
These principles are worth consideration for many companies determining how and where to apply AI-powered solutions to boost their efficiency, quality, innovation and productivity.
Listen to the full podcast here:
Learn More about AI-Powered Engineering here: https://altair.com/ai-powered-engineering