Angstrom-scale ICs will require innovation across the entire semiconductor ecosystem: This will include advances in both the hardware (transistors, power distribution, and connection of multi-die systems) and tools (EDA tools with AI/ML and silicon life-cycle management).
August 31, 2023 by Rob Aitken, Synopsys
Semiconductor manufacturing is a complex industry and small improvements anywhere in the process can make a big difference to the bottom line. This article discusses the benefits of continually optimizing manufacturing for the semiconductor industry by introducing smart manufacturing solutions.
May 19, 2020 by Tim Hewitt, Siemens Digital Industries Software
With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.
January 21, 2020 by Neel Natekar, Mentor
This article describes a methodology that automates set up, constraints, and results analysis as designs move from static CDC analysis to formal verification to simulation and avoid manual scripting efforts, thus reducing setup effort and errors.
November 14, 2019 by Kurt Takara, Mentor
This article looks at the safety standard that governs ADAS features and the challenge in designing power monitoring systems to comply with this standard while introducing an automotive power monitor that has been certified to meet this standard.
September 06, 2019 by Michael Jackson, Maxim Integrated
Novel approaches to end node power supply design using switched-mode converters can enable a wireless end node to operate from a CR2032 lithium coin cell with up to +20 dBm transmit power.
June 25, 2019 by Josh Norem, Silicon Labs
