Meeting The Test Challenges Of Ultra-Wideband Chipsets


By Kevin Yan and Daniel Sun This article is adapted from a paper and presentation at SEMICON China, March 2023. Ultra-wideband (UWB) technology, as defined by IEEE 802.15.4 and 802.15.4z standards, enables short-range, low-power RF location-based services and wireless communication. A variety of devices have reached the market to help implement UWB capability, but these devices present si... » read more

Unlocking Value: The Power of AI in Semiconductor Test


AI (Artificial Intelligence) and data analytics empower semiconductor manufacturers to extract valuable insights from the massive amounts of data generated throughout the silicon lifecycle. By leveraging AI algorithms, semiconductor manufacturers can optimize silicon design, assembly, and testing processes. Through the analysis of vast datasets, AI can identify patterns, predict failures, and o... » read more

Chip Industry Week In Review


By Susan Rambo, Jesse Allen, and Liz Allan The U.S. government will provide about $162 million in federal incentives, under the CHIPS and Science Act, to help Microchip onshore its semiconductor supply chain. The move is aimed at securing a reliable domestic supply of MCUs and mature-node chips. “Today’s announcement will help propel semiconductor manufacturing projects in Colorado and O... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan More than 1 billion generative AI smartphones are expected be shipped during 2024 to 2027, reports Counterpoint. The share of GenAI smartphones will be 4% of the market in 2023 and is likely to double in 2024, with Samsung capturing half the market, followed by Chinese OEMs. By 2027, GenAI smartphones could account for 40% of the market. Global ... » read more

Proprietary Vs. Commercial Chiplets


Large chipmakers are focusing on chiplets as the best path forward for integrating more functions into electronic devices. The challenge now is how to pull the rest of the chip industry along, creating a marketplace for third-party chiplets that can be chosen from a menu using specific criteria that can speed time to market, help to control costs, and behave as reliably as chiplets developed in... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan Synopsys acquired Imperas, pushing further into the RISC-V world with Imperas' virtual platform technology for verifying and emulating processors. Synopsys has been building up its RISC-V portfolio, starting with ARC-V processor IP and a full suite of tools introduced last month. The first high-NA EUV R&D center in the U.S. will be built at... » read more

Testing ICs Faster, Sooner, And Better


The infrastructure around semiconductor testing is changing as companies build systems capable of managing big data, utilizing real-time data streams and analysis to reduce escape rates on complex IC devices. At the heart of these tooling and operational changes is the need to solve infant mortality issues faster, and to catch latent failures before they become reliability problems in the fi... » read more

Fingerprinting Chips For Traceability


Semiconductor components increasingly require unclonable and tamper resistant identifiers, which are especially necessary as devices become increasingly heterogeneous collections of chiplets and subsystems. These fingerprints provide traceability, which contributes to process improvements and yield learning and enable tracking for a tightly managed supply chain. While some of this technology... » read more

Deploying Cutting-Edge Adaptive Test Analytics Apps


By Ken Butler, Advantest, and Guy Cortez, Synopsys Semiconductor test challenges abound in this era of AI. As such, semiconductor test engineering is increasingly moving towards fully adaptive test where each device receives the “right” test content to assess its correctness. Advantest and Synopsys have partnered to provide new cutting-edge real-time adaptive test applications at the te... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan AMD took the covers off new AI accelerators for training and inferencing of large language model and high-performance computing workloads. In its announcement, AMD focused heavily on performance leadership in the commercial AI processor space through a combination of architectural changes, better software efficiency, along with some improvements in... » read more

← Older posts Newer posts →