Blog Review: June 25


Siemens’ John McMillan provides a detailed overview of 3D-IC technology and heterogeneous integration, from the market trends driving its adoption to the design, verification, and manufacturing challenges involved. Synopsys’ Gunnar Braun and Stewart Williams check out how cloud-based development practices and virtual prototypes can enable earlier and more efficient testing and validation... » read more

Chip Industry Week in Review


Texas Instruments will invest more than $60 billion to build and expand seven semiconductor fabs in Texas and Utah, supporting more than 60,000 U.S. jobs. Chinese automakers — including SAIC Motor, Changan, Great Wall Motor, BYD, Li Auto and Geely — are aiming to launch new models with 100% homemade chips, some as early as 2026, reports Nikkei Asia. Marvell introduced 2nm custom SRAM ... » read more

Critical Minerals Due Diligence And The Semiconductor Supply Chain


“Critical minerals our world needs for electric vehicles and semiconductors can be found here. Clean energy we need to power artificial intelligence data centers and economic growth can be built here.”[1] This statement was made by former US President Joseph Biden during his visit to Angola in December 2024 to support a US-funded railroad project called the Lobito Corridor. The railroad wou... » read more

Blog Review: June 18


Synopsys’ John Koeter and other industry experts discuss whether high-bandwidth memory should follow established standards for broad compatibility and scalability or be customized to address specific use case requirements and time-to-market targets. In a podcast, Siemens’ Conor Peick, Dale Tutt, and Mike Ellow chat about how progress in 3D-IC development, thermal management, and the indu... » read more

High-Quality Data Needed To Better Utilize Fab Data Streams


Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufaFcturing represents one of the most complex manufacturing processes in the world. With each generation of process improvement comes more sophisticated fab equipment, new process recipes, and exponential incr... » read more

Chip Industry Week in Review


Qualcomm announced plans to buy Alphawave Semi for ~$2.4 billion in a deal expected to close in Q1 2026. Qualcomm plans to leverage Alphawave Semi's connectivity products, including chiplets, to develop high-performance, low-power solutions for AI inferencing and customized CPUs in data centers. Qualcomm's traditional targets were mobile phones and edge computing. [Updated 6/9.] Global semic... » read more

Blog Review: June 4


In a podcast, Siemens’ Conor Peick, Dale Tutt, and Mike Ellow chat about the implications of the software-defined transition, how it affects semiconductor development, and why it seems to be leading more companies towards developing their own silicon. Cadence’s Vinod Khera shows off a Linux-based audio development platform for prototyping AI audio applications with support for real-time ... » read more

Blog Review: May 28


Siemens’ Patrick Hope considers how to fully perform post-route signal integrity verification on PCB designs while maintaining the project’s timeline by implementing a progressive verification methodology that enables signal integrity experts to focus on issues that demand their expertise rather than simple errors. Cadence’s Vanessa Do checks out how CXL addresses the constant demand f... » read more

Chip Industry Week in Review


Podcast: imec's roadmap and a one-on-one interview with the European research house's chief strategy officer. China's Xiaomi debuted an in-house-designed 10-core mobile SoC built on a 3nm process. The company did not identify the foundry. It also announced plans to invest 50 billion yuan (~$7B) over the next decade to develop high-end smartphone chips, as part of a 200 billion yuan (~$28B) c... » read more

Energy-Efficient Computing Systems For Sustainable AI


As artificial intelligence (AI) proliferates rapidly, AI models and datasets are also growing rapidly in size. This growth far outpaces performance improvement in hardware systems, and is increasing AI’s energy consumption unsustainably. To address these challenges and explore collaborative solutions, SEMI’s Smart Data-AI Initiative – as part of its Future of Computing focus – r... » read more

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