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Machine Learning

Machine Vision – The Eye of Semiconductor Manufacturing

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.

Transform your data and your business in six steps

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

Get optical products to market faster using modern virtual prototyping

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?


White Paper: RoboBusiness

To advance industry, the Chief Robotics Officer (CRO) must combine management functions, standardize corporate systems, and integrate robotics innovations. The fast evolving availability of specific business/financial models for Robotics & Intelligent Operational Systems (RIOS) and lower financial barriers to adoption, in addition to increasing standardization levels, artificial intelligence, and automation are driving operational effectiveness (e.g. cobots (collaborative robots) in manufacturing processes, semi-homogeneous use of cloud computing capabilities, application specific solutions. This white paper takes a deep dive into this emerging role responsible for evaluating and implementing robotics, automation, or intelligent technologies into their organizations. Read the following white paper that will address all your questions, such as: What is the use of a CRO in any business? What is the impact of CRO in an organization’s growth and adoption of robotics? What is the future of CRO and Robotics-as-a-service? What are the operational trends for CRO adoption? How to define an action plan for existing or aspiring Chief Robotics Officers?  What are the roles and responsibilities of a CRO? What are the current approaches related to Robotics-as-a-Solution?

Impact of Pipetting Technique

White Paper: Mettler Toledo

A pipette being the most important of all equipments in a laboratory requires to be well chosen. The pipetting system helps researchers to make informed choices on various equipments for calibration and routine operations. Choosing the right pipette helps in achieving accurate results. Dosing small volumes of liquid into different apparatuses can be tiresome at times, and is practiced on daily basis for research purposes. Thus, it is essential to use high-quality pipettes and controllers for increased level of productivity, and reducing person-hours at laboratories. Read a detailed guideline on Pipetting Systems with the White paper published below to address your concerns: Does your current pipette equipment give results with precision and consuming less time? How does pipetting techniques and use of good quality pipettes made from PVDF polymers enhance your result accuracy? Is the right pipette chosen for conducting the research study?

Speeding Up CNC Machining with ZW3D Tool Path Editor

White Paper: ZWSOFT

The ZW3D tool path editor is not only a simple editor, it involves many more tools to fulfill any designers' wants and needs including -gouge detection, tools check, tools life extension, surface quality. Have you ever gone through a lot of trouble adjusting the parameters, simply to get the appropriate tool path editor? Do you long for a way to edit the tool path in CAM simply like you edit parts in CAD, allowing you to create the right tool path without complex operations? If this is a problem you can recognize, then this white paper may interest you. It focuses on: The Time-Consuming Way of Generating Tool Paths: Cutting the part without the guidance of the tool path editor The Time-Saving Tool Path Editor of ZW3D: Time saving by reordering the tool path Speeding up CNC Machining: Freeing the CNC programmer to focus on more creative things Read this whitepaper “Speeding Up CNC Machining with ZW3D Tool Path Editor,” to know about - how ZW3D Tool Path Editor can help you to greatly reduce programming time makes it simpler and smarter to produce a perfect tool path for machining. 

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