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AI & Data Science Cutting Lead Time in Durability Design

AI & Data Science Cutting Lead Time in Durability Design

Traditional durability testing is slow and costly. AI-powered simulations now predict performance in seconds, speeding up design and slashing costs. See how data science is redefining automotive R&D.

June 24, 2022 7 min read Industrials
#Data Science, AI, CAE, Automotive R&D
AI & Data Science Cutting Lead Time in Durability Design

Data Science and Artificial Intelligence (AI) is no longer a buzzword. It is a crucial contributor to the global automotive megatrends, from autonomous vehicles to alternate powertrain technologies such as Electric mobility, Fuel cell, and many more.

Role of Data science and AI

Data Science is a multidisciplinary approach to extract actionable insights from the large and ever-increasing volumes of data collected and created by today's organizations as per the definition of IBM. Here's the key role of data science and AI in the automotive industry:

Artificial Intelligence is the science and engineering of making intelligent machines and brilliant computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to biologically observable methods, according to John McCarthy, Stanford University.

Machine learning uses data and algorithms to simulate the way humans learn and gradually improve its accuracy. Deep learning attempts to imitate the human brain and enables systems to make predictions with incredible accuracy.

There have been significant software advancements in the last 15 years in Computer-Aided Engineering (CAE) that is specific to automotive R&D.

Durability of components, systems, and vehicles are usually done as per Design…

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