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Artificial Intelligence
Siemens and TSMC are expanding their collaboration on semiconductor design tools, with a focus on AI assisted workflows, advanced chip packaging and support for newer manufacturing processes. Their announcement centers on an AI agent intended to find and fix design rule violations: errors that can prevent a chip layout from… Read More
The 2026 TSMC Open Innovation Platform (OIP) Ecosystem Forum was held on September 23, 2026, in Santa Clara, CA. This is the event where TSMC showcases the substantial progress made with its massive semiconductor ecosystem. As one would expect, AI was a key topic throughout the day, with some very impressive results reported and… Read More
By Piyush Bag
Intro: In this AI era, building data centers has become crucial not just for hyperscalers, but for many companies as well, as they build the infrastructure for AI. At a high level, a data center includes compute, storage, networking, and other infrastructure. This article is about the design lifecycle of network hardware.… Read More
Synopsys today announced its AgentEngineerTM solutions portfolio and AutopilotTM Platform, advancing a fundamental paradigm shift in electronic design automation (EDA): moving beyond AI copilots toward autonomous engineering agents. Following a recent technical briefing with Thomas Andersen, Vice President of AI and… Read More
About twenty years ago I worked with Cliff Hou, LC Lu, and the TSMC PDK team on reference flows with emerging EDA and IP companies. This was the precursor to the OIP. Having a person with LC Lu’s depth of R&D experience running the TSMC Design & Technology Platform is truly an honor, absolutely.
AI is creating two related… Read More
Dr. Sunghyun Park earned his B.S. from KAIST and his Ph.D. from MIT’s CSAIL (Computer Science and Artificial Intelligence Laboratory). He built his career across Intel, Samsung Research, and SpaceX as a semiconductor design engineer, before serving as Vice President at Morgan Stanley in New York — a rare combination of… Read More
👉 This is Part 2 of an editorial series on the evolving economics of AI inference. If you missed Part 1, where I broke down the shift toward full-system integration, the lessons from the AI Infra Summit, and the “no forks” open-source philosophy, you can read it HERE: Beyond the Accelerator: Why Silicon Challengers … Read More
At the 2026 OIP Ecosystem Forum, the industry narrative shifted from incremental scaling to what TSMC defines as the “Intelligence Revolution.” Akin to the 18th-century Industrial Revolution which transitioned human physical labor to mechanical power, the current era is augmenting human ingenuity through … Read More
The recent AI Infra Summit was exceptionally jam-packed, filled to the brim with compelling talks, overlapping tracks, and emerging technologies. Amid the noise of the event, there were many excellent presentations detailing the physical realities of scaling hardware. But one presentation in particular caught my attention… Read More
Broadcom’s fiscal third-quarter 2026 results show how artificial-intelligence infrastructure is shifting from general-purpose acceleration toward customized compute and large-scale networking. The company reported AI semiconductor revenue of $16.7 billion, up 221% year over year and 54% sequentially. That expansion… Read More
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