Machine Learning

White Paper: MVTec Software GmbH

Introduction Semiconductor manufacturing is not brand new anymore. Nevertheless, the global attention and demand for this “old economy” could hardly be greater. It is driven by megatrends such as digitalization, climate change and sustainability. However, manufacturing is highly complex, small-scale, and supply chains are subject to political, economic, and logistical dislocations. Demand turbulence, triggered by the Corona pandemic, is causing semiconductor shortages in many industries. In addition, geopolitical forces and trade disputes are also tightening the supply of semiconductors. And finally, an imbalance between supply and demand is resulting from the sharp increase in demand in the consumer electronics sector. Since the start of the Corona pandemic, demand for 5G phones, laptops, and other consumer electronics for the home office has grown rapidly. At the same time, cars are increasingly becoming true computers on wheels, relying on electronics and semiconductors to power battery management, driver assistance systems, and consumer electronics. To ensure the availability of semiconductors and to become less dependent on supply chain disruptions, semiconductor manufacturing capacity is currently being rapidly built in many regions of the world. The production of semiconductors is complex and involves more than 1,000 different process steps. The construction of production facilities is correspondingly complex and sensitive. In addition, the individual manufacturers of semiconductors have also implemented different processes in their production. There are also different types of wafers and chips, which place different demands on production. Thus, there is no such thing as a uniform semiconductor manufacturing process. This means that flexible technologies are needed for the industry that can quickly add value despite different processes. One such key technology is machine vision. The advantage is, in particular, that in the high-precision production of semiconductors, the numerous necessary inspection and alignment processes can be automated and carried out with high precision.

White Paper: TRIFACTA

If you’re a data engineer, scientist, or analyst, you’re likely looking for ways to make data consumable so you can build curated, accessible data products for advanced data insights and analytics. This eBook outlines the six steps to transform your data—and your business—with Trifacta, the Data Engineering Cloud:   Connect to and discover all your data with universal data connectivity Transform and enrich your data with predictive transformation Profile your data with advanced data profiling Achieve and maintain data quality with adaptive data quality Automate and orchestrate data pipelines Deploy smart data pipelines with advanced data insights and analytics

White Paper: Zemax

How Modern Virtual Prototyping Can Change The Product Development Process? Outdated workflows limit team collaboration and compromise design integrity causing failures in physical prototypes or production impacting the schedules of an organization. As a result, leading companies have moved away from a linear process to a parallel design environment, in which design faithfulness is maintained throughout the workflow. By collaborating over a shared virtual prototype, optical and mechanical engineers can easily identify and correct design errors early in the design phase. Having the product designed right in the early stage leads to higher top-line revenue, lower cost, and a faster time to market. By harnessing the power of OpticStudio and LensMechanix, optical and mechanical engineers can share complete design data and analyze optical performance in a virtual model, reducing design iterations and physical prototypes—saving time and money. Move ahead and read the following whitepaper that will address all your questions, including these: How outdated workflows limit team collaboration and cause design delays?​ What is the importance of modern virtual prototyping?​ How OpticStudio and LensMechanix together can create a modern virtual prototyping solution?