The five most important programming languages in AI are Python, C++, R, MATLAB, and Java.
An interview with Pierre Baqué, founder and CEO.
The objective of this survey is to gain a granular understanding of the adoption of simulations in R&D processes today, and to examine where this trend is likely to head in the future.
In this webinar, engineering experts Thomas von Tschammer (Neural Concept) and Anthony Massobrio (Intelligent Simulation) present a practical Automotive Use-Case.
This document contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations.
There are some important steps to exploit the full potential of 3D Deep Learning (but also of any machine learning technique): preparing your data so that the model can extract the maximum of information out of it.
This article provides a high-level overview of multi-objective global function optimization and the benefits one can unlock utilizing deep learning approaches in constructing the surrogate model used in the optimization process.
A revolutionary approach is transforming the way companies approach tough engineering optimization challenges.
With Neural Concept Shape, you can use 3D numerical simulations as input to train your deep learning models. If we take the example of aerodynamic simulations, these CFD simulations results are usually much larger files than images or text (a single result can reach several hundreds of GB). Hence storing a large amount of them can become an issue in the long term, as it would require to regularly scale up the hardware infrastructures accordingly.
This presentation explains the various uses of simulation in artificial intelligence as well as its importance. It was a follow-up to his incredibly popular simulation and AI integration insights.
A deep learning solution can assist engineers from first iteration to final configuration without the hassle to learn computer science, data science or machine learning thanks to bespoke interfaces sitting on a background solution managed by experts.
Incorporating advanced technologies such as AI and data analytics into their design processes can help mechanical engineers leverage large amounts of data. Focusing on upfront mechanical design, we dive into the topics of AI and Data Science for mechanical engineers and show the up-and-coming applications of Deep Learning to 3D simulation with three use cases.
Artificial intelligence (AI), machine learning and deep learning are three terms often used interchangeably to describe software that behaves intelligently. However, it is useful to understand the key distinctions among them.
Press Release For Immediate Release CINCINNATI, OH (USA); MAY 15, 2023: Revolution in Simulation™ (Rev-Sim), created to accelerate innovation using … Continue reading Revolution in Simulation™ Expands Focus to Cutting-Edge Simulation
AZothBio used Rescale technology to simulate large-scale algorithms in the cloud, understand not only the R&D challenges but also cloud infrastructure, HPC, and configurations.