semiconductor
Source: https://semiwiki.com/eda/375060-who-gets-to-move-the-recipe-how-autonomous-agents-earn-decision-authority-in-the-fab/ by Ajay Kumar Govindaram 아제이 쿠마르 고빈다람(Ajay Kumar Govindaram) 글 There’s a question I’ve started asking at every agentic AI demo I sit through, and it has a clean answer in every fab on earth: who is allowed to change the
semiconductor
Source: https://semiwiki.com/lithography/373533-smoothing-the-quantum-path-asml-and-xanadu-target-photon-loss/ ASML’s decision to collaborate with Xanadu targets one of photonic quantum computing’s most unforgiving engineering constraints: photon loss. The companies will investigate advanced lithography processes for Xanadu’s photonic quantum hardware, focusing on whether tighter patterning control can suppress loss mechanisms and
semiconductor
Source: https://semiwiki.com/semiconductor-services/silicon-catalyst/375130-sir-arthur-c-clarke-deserves-a-nobel-prize/ By Richard Curtin 리차드 커틴(Richard Curtin) 글 Ever since the Silicon Catalyst 2023 Semiconductor Industry Forum (“Welcome to our AI Wonderland”) I’ve been convinced that the Nobel Prize committee needs to consider awarding a posthumous award to Sir Arthur. 실리콘 카탈리스트
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
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
semiconductor
Source: https://semiwiki.com/eda/374529-what-darpa-taught-me-about-building-trust-into-silicon/ By Sajeed Mohammad The most memorable slide I ever saw in a chip design review didn’t show a floorplan. It showed a target. The Defense Advanced Research Projects Agency (DARPA) program manager running AISS, Automatic Implementation of Secure Silicon, the program that funded
semiconductor
Source: https://semiwiki.com/semiconductor-services/flow-accel/374405-delivering-silicon-systems-through-ai-disruption-part-1-writing-the-score/ Score: the written music for an orchestra, with every section’s part laid out on the same page so they play together. In this article, it’s your designed workflows. 총보(Score): 오케스트라를 위한 악보로, 모든 파트의 악보가 한 페이지에 정렬되어 함께 연주할