Sensors are available for a range of routine and specialized applications. The two newest sensors offer significant advancements in terms of performance and range of application.
An Interview with Kistler’s Robert Hillinger
Robert Hillinger, Business Development Manager at Kistler, explains how dynamic force measurement increases process reliability in semiconductor production.
Shortages of Equipment, Design Engineers, Face Booming Semiconductor Industry
How to level the playing field with AI software engineers.
Scaling Progress Takes Many Paths at VLSI Symposium
The IEEE 2022 Symposium on VLSI Technology and Circuits attracted 650 people to attend in person in Honolulu, and an equal number of virtual attendees.
Emerging Metrology Requirements for Heterogeneous Integration and 3D Packaging
The ability to speed up the deployment of heterogeneous integration in mass production requires new and more frequent types of measurements in key manufacturing processes, including wafer and die bonding as well as lithography.
Power ICs: A $21B Market Evident in All Applications
Electrification of transport, autonomous driving, batteryfication of power and medical tools, and building and factory automation will continue to drive the market.
Atomic Layer Deposition Gains Traction in More-than-Moore Device Production
ALD adoption is likely to continue despite aggravating supply chain issues and production costs.
Achieving Carbon Neutrality through Predictive Maintenance
By being able to smartly schedule maintenance and repairs, companies can reduce unplanned downtime, decrease maintenance frequency, and decrease waste production while also conserving energy.
SEMI’s S23 Standard – Save Energy, Save Money, Save the Planet
The greatest potential for immediate reductions in GHG emissions in semiconductor manufacturing lies in reducing the energy used by manufacturing equipment.
The Human Hand: Curating Good Data and Creating an Effective Deep-Learning R2R Strategy for High-Volume Manufacturing
Areas ideally suited for AI applications may be repetitive and mental labor-intensive tasks with good available data, or when analytical methods are not applicable or too difficult to find, or data interpolation.