Chip Industry Technical Paper Roundup: Nov. 5


New technical papers recently added to Semiconductor Engineering’s library: [table id=378 /]   Further Reading Chip Industry Week In Review Silicon Valley design center and NY EUV Accelerator; Siemens’ big acquisition; Onto extends panel inspection with two acquisitions; DENSO-Quadric deal; thinner Si-based power wafer; $100M funding for AI; trade wars escalate; earnings rep... » read more

Benchmark and Evaluation Framework For Characterizing LLM Performance In Formal Verification (UC Berkeley, Nvidia)


A new technical paper titled "FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware" was published by researchers at UC Berkeley and NVIDIA. Abstract "The remarkable reasoning and code generation capabilities of large language models (LLMs) have spurred significant interest in applying LLMs to enable task automation in digital chip design. In particula... » 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


Arm joined forces with Korea's Samsung Foundry, ADTechnology, and Rebellions to create a CPU chiplet platform for AI training and inference. The new chiplet will be based on Samsung's 2nm gate-all-around technology. Intel and AMD, arch competitors for decades, formed an x86 ecosystem advisory group to collaborate on architectural interoperability and simplify software development. Samsung... » read more

Mass Customization For AI Inference


Rising complexity in AI models and an explosion in the number and variety of networks is leaving chipmakers torn between fixed-function acceleration and more programmable accelerators, and creating some novel approaches that include some of both. By all accounts, a general-purpose approach to AI processing is not meeting the grade. General-purpose processors are exactly that. They're not des... » read more

Chip Industry Week In Review


Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

Government Chip Funding Spreads Globally


This is the first in a series of articles tracking government chip investments. See part two for Americas-focused funding and part three for the UK and EMEA. Countries around the world are ramping up investments into their semiconductor industries as part of new or existing approaches. The increased government activity stems from growing awareness of the strategic importance of the chip sect... » read more

Chip Industry Week In Review


Amkor will provide turnkey advanced packaging and test services to TSMC in Amkor's planned facility in Peoria, Arizona, in a deal announced on Thursday. The companies jointly specified the packaging technologies, such as TSMC’s Integrated Fan-Out (InFO) and Chip on Wafer on Substrate (CoWoS). President Biden signed into law a bill that exempts some semiconductor projects funded by the U.S.... » read more

Chip Industry Week In Review


Global spending on 300mm fab equipment is expected to reach a record US$400 billion from 2025 to 2027, according to SEMI. Key drivers are the regionalization of semiconductor fabs and the increasing demand for AI chips in data centers and edge devices, with China, South Korea, and Taiwan leading the way. The Biden-Harris Administration launched the National Semiconductor Technology Center’... » read more

RAG-Enabled AI Stops Hallucinations, Adds Sources


Many EDA companies have taken the first steps to incorporate generative AI into their tools, and in such tightly controlled environments GenAI appears to have great benefits. But its broader adoption has been delayed by its notorious inaccuracy, giving results that are often out of date, untrue, and unsourced. That's starting to change. GenAI is evolving so rapidly that these kinds of proble... » read more

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