Today, artificial intelligence (AI) and machine learning (ML)-based systems enable applications ranging from junk mail or text filters to autonomous vehicles and robots. Engineering firms and their employees have utilized AI and ML to improve the engineering design process and create highly optimized and original products. Early adopters have benefitted from shorter design cycles, engineering productivity and originality, which has transformed entire engineering and product development workflows.
Let’s examine where traditional engineering design techniques and processes can be exceeded by generative design. We’ll consider some real-world examples to realize why increasing numbers of engineers are turning to AI and ML techniques to reinvent and optimize the design process.
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Intermittent robotics and science journalist and Economist contributor. Credits include Wired (U.S. & U.K.), BBC, Robotics Business Review, Robotics Trends, BBC Focus, EdTech, StateTech, The Irish Times, and numerous other digital and print outlets in North America and Europe. Got a great robotics story with a regulatory or legal angle? Drop me a line.
