Utility Token for Service Robotics

whitePaper | February 10, 2020

Engineers are facing ever-increasing pressure from business executives to incorporate innovative technologies into their products. The realities of creating new and unexplored concepts, while accounting for more and more smart connected products, and continually adapting to changing market uncertainties, is making it challenging for companies to compete effectively.

whitePaper | August 8, 2022

Engineering and construction (E&C) companies have traditionally accepted this volatility as a result of the inherent complexity of jobs: Construction projects bring together contractors, suppliers, equipment, labor, and global supply chains that are more precarious than ever. But one root problem is that most E&C companies are still trying to juggle this high level of complexity with a relatively low level of technology adoption. The construction industry lags far behind nearly all others in digitization, spending less than 2% of revenue on Information Technology

whitePaper | February 19, 2020

Government Code Sections 4525 define a qualifications-based selection process where public entities may consider the price of proposed services in the procurement. This process was previously a three-step process starting with advertising for statements of qualifications, then developing a short list, and then requesting proposals from the short list to include resumes, comments on the contract, and price considerations if relevant; but is now often a four-step process, with the last step of negotiating sequentially with the most qualified firms.

whitePaper | August 8, 2022

ConXtech produces and erects a structural steel system whose patented moment frame collar and unique gravity connections facilitate steel erection 3-5x faster than traditional forms of steel erection. On a project greater than 100,000 square feet, this can mean weeks or months of schedule savings. This white paper will provide a basic understanding of the ConXtech system for architects and engineers, along with some guidelines on best project types and best practices for using the system on your projects

whitePaper | April 11, 2022

In this whitepaper, specialists from Onshape, SimScale, and ESTECO cover the implementation of a design-simulateoptimize workflow relying on tools built on the latest cloud computing and optimization technologies, applied to the design of a centrifugal fluid pump.

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.