Ready to Work: Job-Driven Training and American Opportunity

whitePaper | January 1, 2023

Pragmatic Semiconductor is a British semiconductor manufacturing company based out of Cambridge and Durham that develops ultra-low-cost flexible electronics that can help address society’s challenges. We provide a unique, flexible platform and rapid turnaround time, with significantly lower footprint and cost than conventional silicon foundries.

whitePaper | November 12, 2019

Today’s economies are changing dramatically, driven by developing and emerging markets, innovative products and business models, and the accelerated rise of advanced technologies, such as machine learning and artificial intelligence. Globally, the automotive and manufacturing segments have seen record-setting profits over the past decade-and also transformative change.

whitePaper | March 2, 2020

Today's manufacturers have had to pivot quickly to adapt to demands brought on by COVID-19. Business Intelligence and analytics have played a vital role in providing the most successful manufacturers with insights necessary to find new ways to: Improve product and service quality.Higher levels of quality

whitePaper | July 16, 2020

Quality control testing instrumentation solutions for GMP manufacturing. From raw materials QC through production QC and final product QC.Purified Water is used to produce nonparenteral preparations and other pharma applications, including tests/assays for which water is indicated. SOP parameters can be pre-programmed into the instrument and automated for testing to meet EP 2.2.44 Total Organic Carbon, USP<645> Water Conductivity, USP <643> Total Organic Carbon Analysis, and International Conference on Harmonisation (ICH) Q2 standards.

whitePaper | November 2, 2022

This white paper entitled "Artificial Intelligence in Manufacturing" reports the use of Artificial Intelligence (AI) in European manufacturing, and its potential to enhance competitiveness and technological leadership in the future. The paper is based on research conducted by the Artificial Intelligence in Manufacturing NETwork (AIM-NET), which represents the viewpoint of the manufacturing community on the achievements and challenges of AI solutions. The document covers topics such as AI in manufacturing processes, robots, machines, and operations support in manufacturing, and AI in manufacturing systems. It also includes discussions on cross-cutting aspects such as regulation, education, systems engineering, and data augmentation. The paper also presents the maturity achieved TRL levels of existing AI-based applications in manufacturing, typical KPIs used to assess performance, and barriers and limitations to wide adoption. It also provides a roadmap for future work on AI, with efforts needed in short-term and long-term time horizons. Overall, the paper provides a comprehensive overview of the current status and future vision of AI in manufacturing for policy makers, practitioners, and researchers.

whitePaper | August 1, 2020

Imagine the power of a process model that defines the pace of your production. Imagine process mining insights, which allow you to feel the pulse of actual process performance. Imagine a digital twin as a virtual representation of your manufacturing processes. Imagine a single software which - at the same time - enables a more collaborative approach, with all members of the workforce working towards performance improvement, reducing waste & defects. Now stop imagining... that reality is here.