Weebit Nano launched its Weebit Matrix In-Memory Compute Research Program on November 4, 2026, giving academic and industry researchers access to hardware built around its resistive random-access memory, or ReRAM. The program will let teams prototype AI algorithms, research ways to program the memory and explore architectures… Read More
Golden Testcases You Can Check With a CalculatorTwo timing tools that agree can still both…Read More
Curvilinear OPC and next-gen photomask optimizationA vector-based approach for semiconductor manufacturing By Sagar…Read More
ChipNexus Brings Agentic AI into Established Analog Design FlowsChipNexus has introduced its NEX Analog Agent, bringing…Read More
Delivering Silicon Systems Through AI Disruption, Part 2: The ConductorConductor: the person who keeps every section of…Read MoreThree-Dimensional Chess Anyone? The Challenges of Power Integrity for Multi-Die Designs
Power integrity has been a substantial design challenge for a long time. In the multi-die era, the problems associated with EMIR analysis must now move beyond the chip to consider interactions across the entire stack. The effects to be analyzed span a multi-dimensional, multi-material space. The graphic at the top of this post… Read More
CTO Interview with Ed Plowman of Imagination Technologies
Ed Plowman is Chief Technology Officer at Imagination Technologies, where he leads technology strategy, advanced architecture research and long-term innovation initiatives. He focuses on the convergence of graphics, compute and artificial intelligence, helping shape the next generation of efficient and adaptable computing… Read More
Golden Testcases You Can Check With a Calculator
Two timing tools that agree can still both be wrong. A small testcase where you can re-derive every printed digit by hand shows that the engine is correct, and when it isn’t, it shows which term is wrong.
By Dr. Sameer Pawanekar, Founder & CEO, Ramtera Inc.
The problem: agreement is not correctness
New static timing engines, and… Read More
Curvilinear OPC and next-gen photomask optimization
A vector-based approach for semiconductor manufacturing
By Sagar Saxena is a Senior Product Engineer at Siemens EDA
Curvilinear OPC transforms advanced semiconductor manufacturing
Modern semiconductor manufacturing is experiencing a fundamental shift in the way photomasks are created and optimized. As the industry pushes… Read More
Who Owns the Voice in Your Head?
On May 13, 2024, OpenAI demonstrated GPT-4o, a model that could carry on a spoken conversation with the timing and inflection of a person. One of its voices, called Sky, was warm, quick and more than a little flirtatious. After the demo, Sam Altman posted a single word on X: “her.” Nobody in the industry needed the reference… Read More
Podcast EP377: Aion Silicon’s Growth and Impact Across Multiple Markets with Oliver Jones
Daniel is joined by Oliver Jones, CEO of Aion Silicon, a global semiconductor design and engineering company delivering custom silicon solutions for the AI age. He leads the company’s strategy and growth as it continuously helps technology companies bring advanced SoC designs to market from architecture through production,… Read More
CEO Interview with Mark Rushworth of Finchetto
Mark Rushworth is CEO of the all-optical network switch company, Finchetto, a photonics startup developing fully optical network switching technology for AI and hyperscale data centers. He specializes in integrated photonics and optical networking, with a focus on reducing the power consumption and latency of modern computing… Read More
CEO Interview With Trey Closson of Amplio
Trey Closson is the Co-Founder and CEO of Amplio, an AI-powered industrial asset recovery company helping manufacturers recover value from surplus equipment and inventory. With over a decade of experience in global logistics, supply chain strategy, and operations, Trey previously led international logistics at Georgia-Pacific… Read More
CEO Interview with Albert Liu of Kneron
Albert Liu founded Kneron in 2015 with a mission to bring on-device Edge AI and machine learning to mass-market devices and usher in the age of AI everywhere. His vision for Kneron is to realize the Edge AI Net, democratizing AI by moving inferencing away from the centralized cloud “brain” and onto devices everywhere.
Liu previously… Read More



The $725 Million Chip Development: Why Execution Risk, Not IP Cost, Now Dictates Advanced-Node Survival