Chip Industry Week In Review


The 2024 IEEE International Electron Devices Meeting (IEDM) was held this week, prompting a number of announcements from: imec: Proposed a new CFET-based standard cell architecture for the A7 node containing two rows of CFETs with a shared signal routing wall in between, allowing standard cell heights to be reduced from 4 to 3.5T, compared to single-row CFETs. Integrated indium pho... » read more

Asia Government Funding Surges


Billions of dollars have been pouring into Asian countries for the past few years in an effort to boost their production capacity, explore leading-edge technology, compete on the global stage, and shore up supply chains in the face of geopolitical turmoil. Each country has its own plan to maintain a foothold in the global market, from China’s Big Fund to Korea’s Yongin Cluster and Japan�... » read more

Chip Industry Week In Review


Siemens announced plans to acquire Altair Engineering, a provider of industrial simulation and analysis, data science, and high-performance computing (HPC) software, for about $10 billion. Altair's software will become part of Siemens' Xcelerator portfolio and provide a boost to physics-based digital twins. Onto Innovation bought Lumina Instruments, a San Jose, California-based maker of lase... » read more

Chip Industry Week In Review


BAE Systems and GlobalFoundries are teaming up to strengthen the supply of chips for national security programs, aligning technology roadmaps and collaborating on innovation and manufacturing. Focus areas include advanced packaging, GaN-on-silicon chips, silicon photonics, and advanced technology process development. Onsemi plans to build a $2 billion silicon carbide production plant in the ... » read more

Chip Industry Week In Review


By Adam Kovac, Gregory Haley, and Liz Allan. The U.S. government released a 61-page report, titled "National Strategy on Microelectronics Research,” by the Subcommittee On Microelectronics Leadership. It provides a framework for government, industry, academia, and international allies to address four major goals. Synopsys  acquired Intrinsic ID, which develops physical unclonable func... » read more

Chip Industry Week In Review


By Jesse Allen, Linda Christensen, and Liz Allan.  The Biden administration plans to invest more than $5B  for semiconductor R&D and workforce support, including in the National Semiconductor Technology Center (NSTC), as part of the rollout of the CHIPS Act. Today's announcement included at least hundreds of millions for the NSTC workforce efforts, including creating a Workforce Cente... » read more

Chip Industry Week In Review


By Jesse Allen, Gregory Haley, and Liz Allan. Cadence introduced an AI-based thermal stress and analysis platform aimed at 2.5D and 3D-ICs, and cooling for PCBs and electronic assemblies. The company also debuted a HW/SW accelerated digital twin solution for multi-physics system design and analysis, combining GPU-resident computational fluid dynamics (CFD) solvers with dedicated GPU hardwar... » read more

Chip Industry Week In Review


By Susan Rambo, Karen Heyman, and Liz Allan The Biden-Harris administration designated 31 Tech Hubs across the U.S. this week, focused on industries including autonomous systems, quantum computing, biotechnology, precision medicine, clean energy advancement, and semiconductor manufacturing. The Department of Commerce (DOC) also launched its second Tech Hubs Notice of Funding Opportunity. ... » read more

Nanoimprint Finally Finds Its Footing


Nanoimprint lithography, which for decades has trailed behind traditional optical lithography, is emerging as the technology of choice for the rapidly growing photonics and biotech chips markets. First introduced in the mid-1990s, nanoimprint lithography (NIL) has consistently been touted as a lower-cost alternative to traditional optical lithography. Even today, NIL potentially is capable o... » read more

Week In Review: Design, Low Power


MLCommons debuted the latest results for the MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the performance and power-efficiency of applying a trained machine learning model to new data in data center, edge, and mobile use cases. Overall, MLCommons said the results showed both power efficiency improvements and significant gains in performance in some benchmark tests. Seve... » read more

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