semiconductor
Source: https://semiwiki.com/eda/agentrys/375112-agentrys-shows-the-way-with-agentic-loop-engineering/ At Hot Chips 2026, OpenAI presented Jalapeño, an inference ASIC built with AI in the design loop. As reported from the session by ServeTheHome and Tom’s Hardware, OpenAI showed measured block-level wins over a human baseline — 56% on a BF16 multiply, alongside
semiconductor
Source: https://semiwiki.com/eda/siemens-eda/374917-siemens-and-nvidia-accelerate-lithography-for-next-generation-ai-chips/ Siemens has announced advances in its collaboration with NVIDIA to accelerate computational lithography, addressing a demanding step in manufacturing advanced AI semiconductors. By integrating NVIDIA’s cuLitho library with Siemens Calibre manufacturing software, the companies aim to make sophisticated photomask optimization practical at
semiconductor
Source: https://semiwiki.com/lithography/373583-maskless-euv-lithography-an-alternative-to-e-beam/ Semiconductor manufacturing depends on lithography: the process of transferring tiny circuit patterns onto a silicon wafer. Conventional extreme-ultraviolet (EUV) lithography projects light with a wavelength of 13.5 nanometers through a reflective optical system, using a custom photomask to define each layer. It can
Economy
Source: https://www.bloomberg.com/opinion/newsletters/2026-10-22/zuckerberg-wants-to-keep-his-votes Class C The basic deal is that if you found a company, and you want to raise money, you will probably have to give up some ownership of it. When the company is just you and an idea in your garage,
Economy
Source: https://www.bloomberg.com/opinion/newsletters/2026-10-21/obviously-spacex-and-tesla-will-merge SXSI/Tesla One model of Elon Musk five years ago is that he had a bunch of disparate interests and was really passionate about all of them.[1] One minute, he’d be like “I want to make self-driving electric cars,
Economy
Source: https://www.bloomberg.com/opinion/newsletters/2026-10-20/someone-has-to-take-the-ai-risk AI CDS My basic model of the data-center stuff is that there’s a kajillion dollars of systematic data-center credit risk, and someone has to own it. Or in more words: 1. Companies are borrowing a kajillion dollars to build data
Economy
Source: https://www.bloomberg.com/opinion/newsletters/2026-10-19/universal-basic-ai Public Benefit Fund The approximate rule for most US companies is: * The company does stuff that generates economic value; * Some of that value goes to the company’s workers as wages for creating the value; * The company’s shareholders — founders and
Economy
Source: https://www.tker.co/p/tker-year-five-stock-market-truth-six Five years ago, on October 14, I launched TKer, the newsletter that tells the story of how the stock market usually goes up. 5년 전 오늘인 10월 14일, 저는 주식시장이 대개 우상향한다는 이야기를 전하는 뉴스레터인 티커(TKer)를 창간했습니다. 📉 That first year was
semiconductor
Source: https://semiwiki.com/semiconductor-manufacturers/tsmc/374950-tsmcs-ai-expansion-signals-a-broader-shift-in-computing/ TSMC is describing an artificial intelligence boom that reaches beyond accelerator chips into the wider computing infrastructure needed to support increasingly capable AI systems. On the recent investor call, Chairman and CEO Dr. C.C. Wei presents strong demand, persistent supply constraints and
semiconductor
Source: https://semiwiki.com/semiconductor-manufacturers/374838-terafabs-single-roof-why-packaging-not-lithography-decides-high-volume/ By Shaurya Seth Terafab is one of the most ambitious projects of the decade: $16.8 billion for phase one and up to $119 billion across four phases. A research fab in Austin iterates on process recipes, transistor designs, and packaging variants at a
semiconductor
Source: https://semiwiki.com/semiconductor-manufacturers/374900-why-semiconductor-ai-starts-with-data-not-algorithms/ The next gains from AI in semiconductors will come less from models and more from making fab and test data reliable, connected and tied to engineering decisions. 반도체 분야에서 AI가 가져올 다음 단계의 성장은 정교한 모델 그 자체보다는 팹(fab) 및 테스트 데이터를 신뢰할
semiconductor
Source: https://semiwiki.com/eda/synopsys/374743-why-ai-security-starts-at-the-chip-level/ Artificial intelligence is becoming part of the infrastructure that powers healthcare, transportation, finance, manufacturing, and everyday digital services. As these systems grow more capable, they also process more sensitive information and depend on increasingly complex hardware. The Synopsys white paper, “Securing AI at