The Engineer Inside the System

whitePaper | April 1, 2021

White paper about sustanable drain system.

whitePaper | September 16, 2022

Though the construction and engineering industry is infused with high-tech, when we discuss digital transformation, we are primarily referring to the implementation of BIM - Building Information Modeling. BIM is one of the most promising developments in the AEC (architecture, engineering, and construction) industries.

whitePaper | April 6, 2020

For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. AI/ML may be the biggest challenge yet. Artificial intelligence is the study and application of providing hardware and software that attempt to emulate human intelligence. Therefore, as human beings adapt to different tasks, AI must adapt. Indeed, if AI is to scale to the diversity of human tasks, it will not be via a single, monolithic solution. For every task a human can perform, AI must adapt through a unique combination of hardware and software components.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

whitePaper | December 10, 2021

A multiphysics approach to design is of the essence to fully capture the realworld interactions between the physical phenomena at play inside today’s complex products. This means that to develop the best products need to adopt simulation tools capable of handling structural, thermal, and fluid flow behavior with high-fidelity and in a timely manner. Access to CAE simulation tools in the cloud is therefore critical and can offer a competitive advantage, as it enables engineering teams to quickly assess product performance and accelerate design iterations by leveraging its virtually limitless computational power and collaborative nature. Engineers and designers have traditionally been constrained by legacy desktop CAE tools. Neither the computational power available locally, or its associated cost, scale up or down on-demand. N

whitePaper | May 24, 2022

The pace and degree of digital transformation has accelerated in the past year as businesses were forced to devise newer strategies to ensure business continuity while minimizing the negative impact of the pandemic. Enterprises that had made significant investments in digital technologies were better poised to face the unexpected and rapid changes in business scenarios, whereas those with low digital maturity had to spend a significant part of the early days of the pandemic in transforming their operations to suit the new normal. External factors such as customer needs and requirements, quality, reduction of production and control costs, environmental impact of products, etc., are pushing enterprises to re-evaluate their business strategies. They are continuously striving to find the right balance of increasing the margins of legacy products and to generate revenue growth through investments made towards digital innovation, new products, and services.