What are you doing to advance innovation? Here's an idea - bring artificial intelligence (AI) to bear on your product design process with Generative Design. Read this blog post to learn more.
The term “AI” has been freighted with meanings in the popular imagination long before realizing practical uses. Now that AI is finally showing its value, we can examine what it means in manufacturing and engineering, specifically for uses in simulation.
Change Notice, a weekly video podcast hosted by Instrumental Inc., seeks to address the topic in conversation with product design engineering leaders. In a recent episode, Maya HTT’s Remi Duquette joined host Anna-Katrina Shedletsky for a deep dive into the changes he’s seen over the last 10+ years.
Answer this survey to understand your AI maturity level, and equally important, get the resulting report to ensure you take the right next step towards successful AI operations. Typical Stakeholder: VP, Director, Manager for Maintenance, Operations, Plant, Fleet, and Service management
How can discrete and continuous manufacturing take full advantage of rising digital technologies? Will the deployment of machine learning succeed, even in “dirty” industrial environments?
This paper unleashes the power of Artificial Intelligence (AI) and Data Science (DS) in the field of Materials and Integrated Computational Materials Engineering (ICME). It develops leading edge applications, such as how to accelerate the generation of material data, enrich material databases, optimize manufacturing & design, among many other innovations that are now made possible with DS/AI.
The convergence of mechatronic and system-based engineering with advances in data management, artificial intelligence (AI), machine-learning (ML) and increasingly connected manufacturing is challenging traditional industrial product development and manufacturing processes.
This white paper discusses how synthetic datasets for training AI can be generated in hours using the OnScale cloud simulation platform. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.
Engineering.com's Roopinder Tara asks: Can artificial intelligence help us with simulation?
This webinar highlights the benefits of using artificial intelligence in the design of vehicle crash structures as well as occupant kinematics in future autonomous vehicles.
This webinar showcases how Maya HTT clients are successfully utilizing data and enabling non-data scientists to leverage AI technologies. Those looking to understand what industrial IoT and AI can bring to an engineering organization are encouraged to view this webinar.
Airedale chose the 6SigmaDCX software suite to help them optimize the design of their state-of-the-art ACUs and chillers.