MAKING CONCRETE A MORE SUSTAINABLE BUILDING MATERIAL

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 31, 2021

he digital planning, which can now be found in architecture and design offices, at general contractors or via prefabrication, bricklaying robots and GPS-based excavators already on the building site, is characterized by Building Information Modeling (BIM). Yet, BIM is only really an efficient and commercial option if it is paired with the integrated working method.

whitePaper | February 20, 2020

Engineering Data Management is all about the creation, version control and fast retrieval of documents. It has little or nothing to do with formal change management, or building a reliable audit trail. Engineering Data Management Systems should make life for the engineer as simple as possible without introducing too much complexity. Document control on the other hand, is the management of documents through their life cycle with a much higher degree of reliability for security, version control, review cycle, visibility, availability and, most importantly, for a controlled and reliable audit trail.

whitePaper | August 2, 2022

The purpose of the Technical Design Requirements for Alberta Infrastructure Facilities (TDR) document is to provide architects, engineers, contractors, client groups, facility administrators and operators involved in designing and building facilities with a comprehensive set of requirements. The requirements have been developed by Alberta Infrastructure Technical Services and Procurement Branch by consolidating best practices information, from the position of knowledgeable owner, as well as national and international subject matter experts. They are based on components and systems which have proven to be reliable and efficient, to meet the needs of the users, and to have acceptable life cycle costs. The requirements are intended as a minimum for planning new facilities and renovating and operating existing facilities. Innovative designs, products, systems and technology are encouraged after thorough evaluation of potential benefits and risks, value analysis and life cycle cost. Early and regular involvement by Technical Services staff is recommended when proposing alternatives.

whitePaper | April 30, 2021

Digital Twins (DTs), as the name suggests, provide a form of a digital counterpart for a physical asset. They promise to transform construction delivery and Facilities Management (FM), boosting operational productivity, quality and ultimately profitability in the process.

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.