What is Machine Learning | Learn about ML’s role in Product Design

Machine learning helps companies to automatically detect damage to powerlines, predict the best time to buy a product online, and even build effective fraud detection systems, all adding to the safety and convenience of our lives. For product designers, machine learning offers opportunities to save time and money by leveraging data to uncover valuable insights that lead to more realistic simulations, smarter workflows, and more accurate predictions. Machine Learning refers specifically to a set of data analysis methods that excel at pattern recognition. Within product design, there are many applications for this technology, as it can empower designers and engineers to innovate faster, by automating previously manual tasks, introducing intuitive search functions, and building more accurate simulations. When building a CAD model, the ability to search for similar shapes can be very useful. Machine learning enables designers to use an initial shape as training data, to learn patterns and identify close or exact matches. Designers can then take this a step further and organize this data into classes, known as clustering. This allows the user to group similar shapes and view them collectively, streamlining the design workflow. Ultimately, incorporating machine learning techniques throughout the design process can improve efficiency and dramatically decrease time spent in the early development phase of a product. Many industries are now beginning to realize the benefits of machine learning-based AI-powered design combined with physics-based simulation-driven design, leveraging the latest in high-performance computing. Learn more about machine learning and how Altair uses ML to power product design. Visit us at https://www.altair.com/ai-powered-design/ .

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