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Reduce Physical Testing Using Self-Learning Models 🧠

Using Monolith, customers such as Jota Sport are overcoming the tedious, time-intensive, and repetitive engineering approach that they previously utilised during testing.

Rather than trying to hard-code all of the equations and making sure to embed all the physics of a given system, Jota instead feeds the self-learning model using real-world test data to learn from real-world performance, which can be taken from track or wind tunnel testing.

Using self-learning models is the best way to infer the physics, quickly understand, and instantly predict what design parameters are affecting vehicle performance.

#machinelearning #engineering #automotive