20/04/2021 | written by Marco Turchetto
Machine Learning accelerates the simulation design process
Machine Learning (ML) is a branch of Artificial Intelligence that permeates our everyday life: from the moment we wake up in the morning to the moment we go to bed at night. It is the engine that powers many online services we use and that influences our behaviors learning from our past experiences. The idea behind this is that systems can learn from data, identify patterns on their own and make decisions with minimal human intervention. The same applies to engineering and CAE-based product design where ML provides a real benefit to simulation-based computer experiments
02/12/2020 | written by Marco Turchetto
From meaningless numbers to data-driven decisions in engineering product design
The biggest challenge with data today isn’t how to handle it from a technical and technological point of view. Rather, it has to do with turning data into valuable insights necessary to predict the optimal next step of the design iteration. Storytelling is an essential part of data interpretation when it comes to enterprise-wide collaboration on product design which is the norm in the era of digital twins and Industry 4.0. ESTECO technology empowers you to improve the collaboration between simulation experts and decision-makers during the entire design process allowing access to high-quality post-processing of simulation results in a way that any user is able to understand. Ultimately, extracting insights from simulation data translates into maximizing your investments, improving the decision-making process across the enterprise, cutting development times, and producing more competitive and better-performing products.