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The Semiconductor Sustainability Challenge – Accenture Weighs In

Guido D’hert, High Tech and Semiconductor Industry Europe Lead at Accenture, spoke about challenges semiconductor companies face in meeting sustainability goals and how to apply analytics, new green technologies and circular design, sharing during his presentation at ISS Europe in Brussels, Belgium.

Smart Manufacturing Analytics Solutions to Mitigate Impact of COVID-19

The costs of production are typically based on labor and materials and define manufacturing expenses. But is this approach accurate enough? What about the cost of poor quality and lack of efficiency in production? How is the pandemic impacting semiconductor manufacturing and what can we expect from...

Micron Lighting the Way: Driving Efficiency and Sustainability in Smart Manufacturing

The world’s most advanced manufacturing factories are leading the way in driving efficiency and sustainability.In advance of its 2020 meeting, the World Economic Forum welcomed Micron into its Global Lighthouse Network, a group of advanced manufacturers “that are showing leadership in applying the...

MEMS and Sensors Fuel Intelligence Movement - Part 1

Part of 1 of 2-part series on MSEC 2019 highlights. Read Part 2. MEMS and sensors are proliferating across consumer, automotive, biomedical/healthcare, robotics, industrial and agriculture applications to harvest sensory data in a hyper-connected world and meet demand from consumers and...

Electrowetting Improves Imaging Device Performance

The evolution of industrial and non-industrial automation, smart manufacturing, and Industry 4.0 technologies have increased demand for vision systems that support robust, reliable imaging industrial applications. What factors are driving growth in the machine vision market today?SEMI spoke with...

How to Add Machine Intelligence or AI to EDA Tools

Constant coverage of an invigorating topic like machine intelligence in the media often urges us to consider its use in EDA technology. As is often the case, there are many myths and falsehoods that consume our time and effort when trying to apply machine intelligence to EDA. This article aims to...