Altair Engineering (Altair)

Software : Engineering : Simulation

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Troy, Michigan, United States


Business is complex. But in complexity, there is opportunity for innovative solutions. Our comprehensive, open-architecture solutions for data analytics & AI, computer-aided engineering, and high-performance computing (HPC), enable design and optimization for high performance, innovative, and sustainable products and processes in an increasingly connected world.

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LG, Altair build AI-powered validation platform for automotive parts


Topics: Partnership

Vertical: Automotive

Organizations: LG, Altair

LG Electronics Inc., an industry frontrunner in applying artificial intelligence to home appliances, said on Wednesday it has joined forces with Altair Engineering Inc., a US tech firm, in developing an AI-powered validation platform for automotive parts.

Integrating AI technology into the vehicle component development process will provide LG’s clients with more reliable and high-quality solutions for products, including infotainment systems, LG said. The South Korean electronics company said the new platform leverages a machine learning algorithm to accurately predict and measure product performance from an early stage of the design validation process.

Read more at Korea Economic Daily

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Rolls-Royce Finds New-Engine Benefits in Old Test Data


Author: Jim Camillo

Topics: generative design, failure analysis

Organizations: Rolls-Royce, Altair

The goal, according to Peter Wehle, head of innovation, research and testing at RRD, is to use this information to reduce new-engine weight and mass, while maintaining structural integrity.

Both parties are hopeful that using ML and AI will significantly reduce the number of sensors needed to obtain present and future data, thereby saving RRD millions of euros annually. According to Mahalingam, the software lets engineers choose the data they want from a data silo, select the algorithms they want to employ and decide whether or not they want to use a neural network to train an ML model.

Wehle notes that the disruptive tool is based on the interaction between a communication endpoint of the engine simulation and neighboring points. It carefully analyzes the effects of loads on physical structures.

Read more at Assembly

How Machine Learning Techniques Can Help Engineers Design Better Products


Topics: machine learning, generative design

Organizations: Altair

By leveraging field predictive ML models engineers can explore more options without the use of a solver when designing different components and parts, saving time and resources. This ultimately produces higher quality results that can then be used to make more informed decisions throughout the design process.

Read more at Altair Engineering