Engineers use simulations to understand, analyze and predict how their complex systems behave in the real world, and improves the quality and accuracy of their designs, from the earliest stages of design.
Read MoreNoesis Solutions is transforming the way engineers design with the power of Artificial Intelligence. nvision, our AI-powered surrogate modelling solution enables engineers predict their product performance in real-time, accelerating innovation and increasing access to simulation data to a wider audience in the organization. Discover More…
Author: Ceyhun Sahin, Product Owner – nvision, Noesis Solutions
Having the customers at the centre of innovation has driven successful business and product roadmaps at Noesis Solutions for many years. In the last two decades of pioneering innovation, we have an in-depth understanding of the integration and automation of engineering workflows and its role to obtain conceptual knowledge in the early stages of the design process. But this understanding also led us to grasp the fact that evolving alongside industry trends is no longer a choice to thrive in the ever-changing landscape of digital engineering.
Read MoreWith virtually limitless computational resources, organizations can execute complex simulation analyses at an unparalleled speed, enabling rapid iterations and significantly reducing time-to-insight - an interaction with David Franke, CEO, Noesis Solutions.
Read MoreIn this fast-evolving digital engineering landscape, where time is money, staying at the forefront of innovation is not just a choice—it's a necessity to improve product efficiency, reduce costs and time-to-market. Each year we at Noesis Solutions, a trusted digital engineering transformation partner, bring new features and updates to our automation and optimization tool, Optimus.
Read MoreThe rise of cloud computing has given a significant advantage to the engineering simulation workloads. Modern engineering simulations are complex, computationally intensive tasks that are used across industries to analyze and predict the behavior of physical systems, such as fluid dynamics, structural mechanics, and electromagnetics.
Read MoreIn the ever-evolving landscape of engineering, a powerful wave of change has arrived with AI/ML and digital engineering. As technology reshapes industries, engineers stand on the cusp of transformation and endless possibilities. This isn't just a time for adaptation; it's an opportunity to excel. Here are five strategies that will not only help you adapt but also flourish in this dynamic environment:
Read MoreIn the ever-evolving landscape of product development, we find ourselves at the confluence of two powerful currents - the surge of digital engineering and the transformative potential of new technologies such as Artificial Intelligence (AI) and Machine Learning (ML). As we stand on the precipice of this technological convergence, we are witnessing a revolution that transcends industry norms and redefines the very essence of innovation.
Modern engineering has been fueled by innovation and progress, and in recent years, the introduction of generative AI has brought a new dimension to the design process. Generative AI, powered by advanced machine learning algorithms, has enabled engineers to autonomously explore, optimize, and create novel engineering designs using less computational resources and time. This transformation has been revolutionizing traditional design methodologies and propelling us into the future of engineering, rather quickly. At Noesis Solutions
Read MoreModern engineering design processes have evolved to incorporate a vast amount of data from various sources, providing valuable insights into complex systems. The integration of diverse data into consistent predictive models, known as multi-fidelity models, has emerged as a revolutionary approach. By leveraging this technique, engineers can experience reduced costs, improved design quality, and faster optimization processes. However, a key challenge in this domain lies in developing algorithms that automatically identify the optimal distribution of design investigations, striking a balance between sampling cost and desired accuracy.
Read MoreHow to unleash the full potential of 3C’s (Cost, collaboration, customization) to enable competitive edge?
Read MoreChoosing the Right Partner and Implementation Strategy for Successful Cloud Transition for your Engineering Design Process
Read MoreArtificial Intelligence (AI) & Machine Learning (ML) are now playing a vital role in driving innovation and growth for businesses. The potential value of AI across industries is massive. Moreover, global private-equity and venture-capital funding in AI companies has increased nearly fivefold, from $16 billion in 2015 to $79 billion in 2022, according to a McKinsey Article - A New and Faster Machine Learning Flywheel for Enterprises
Read MoreLast week, my colleague and I had an interesting discussion about the significance of harnessing engineering data to make data-driven decisions. In today's digital age, companies face increasing product complexity, shorter time-to-market demands, and the need to adapt to evolving market requirements. To overcome these challenges, leveraging engineering data is crucial.
Read MoreCreate competitive products by leveraging engineering data and collaboration amongst geographically diverse teams.
Read MoreWhen: 15 - 18 May 2023 | Where: Tampa Convention Center - 333 S. Franklin Street, Tampa, Florida, USA
We are exhibiting at the NAFEMS World Congress 2023, along with Maplesoft, at in Tampa, Florida, from 15 to 18 May. It is an in-person event where we are going to have an opportunity to meet in person.
Read MoreModern aerospace engineering processes are becoming increasingly complex and interconnected, while still being expected to meet stringent performance, reliability, and safety requirements. The complexity of an aircraft and the tight safety regulations required make it a very expensive and long process. However, there is also a continuous need to reduce design lead time and cost, and accelerated deadlines. Simulation is essential for unlocking innovation in this space.
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