In early January 2026, Weebit Nano Ltd. (ASX: WBT) released a comprehensive report detailing its performance against the 2025 commercial and technical targets the company had set at its 2024 Annual General Meeting. The announcement highlighted significant progress in both business development and technology qualification,… Read More
Curbing Soaring Power Demand Through Foundation IPPower has become a very hot (ha-ha) topic.…Read More
2026 Outlook with Badru Agarwala of Rise Design Automation (RDA)Badru Agarwala is the CEO and Co-Founder of…Read More
2026 Outlook with Cristian Amitroaie, Founder and CEO of AMIQ EDACristian Amitroaie is the Founder and CEO of…Read More
Pushing the Packed SIMD Extension Over the Line: An Update on the Progress of Key RISC-V ExtensionThe rapid growth of signal processing workloads in…Read More2026 Outlook with Steve Roddy of Quadric
Tell us a little bit about yourself and your company.
I am the Chief Marketing Officer at Quadric, where I have spent the past four years helping scale the company’s market presence and customer engagement. Quadric is a pure-play IP licensing company that has been operating for more than seven years. We specialize in a truly unique,… Read More
Hierarchical Device Planning as an Enabler of System Technology Co-Optimization
AI, hyperscale data centers, and data-intensive workloads are driving unprecedented demands for performance, bandwidth, and energy efficiency. As the economic returns of traditional transistor scaling diminish, advanced IC packaging and heterogeneous integration have become the primary levers for system-level scaling.… Read More
SiFive to Power Next-Gen RISC-V AI Data Centers with NVIDIA NVLink Fusion
In a strategic move that could reshape the future of AI data center design, SiFive, a leading developer of RISC-V processor IP and compute subsystems, has announced plans to integrate NVIDIA’s NVLink Fusion interconnect technology into its high-performance data center platforms. This collaboration bridges the open-architecture… Read More
2026 Outlook with Dave Hwang of Alchip
Dr. Dave Hwang joined Alchip in 2021 as General Manager of Alchip’s North America Business Unit. He also serves as Senior Vice President, Business Development. Prior to join Alchip, Dave served as Vice President, Worldwide Sales and Marketing for Global Unichip and in a variety of management and technical roles at TSMC.
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… Read MoreAgentic at the Edge in Automotive and Industry
It might seem from popular debate around AI and agentic that everything in this field is purely digital, initiated through text or voice prompts, often cloud-based or on-prem. But that view misses so much. AI is already an everyday experience at the edge, for voice-based control, in object detection and safety-triggered braking… Read More
TSMC’s CoWoS® Sustainability Drive: Turning Waste into Wealth
In a significant example of how high-tech manufacturing can embrace environmental stewardship without compromising operational excellence, Taiwan Semiconductor Manufacturing Company has launched a sustainability initiative within its advanced packaging operations that both reduces waste and generates meaningful… Read More
CEO Interview with Dr. Heinz Kaiser of Schott
With over 25 years of experience in the specialty materials industry, Dr. Heinz Kaiser is a member of the Management Board of SCHOTT AG, responsible for High-Performance Materials and Flat Glass, while also heading Sales and Market Development, Sales Excellence, and Intellectual Property. With a strong engineering background… Read More
Podcast EP328:A Brief History of Chip Design and AI with Dr. Bernard Murphy
Daniel is joined by Dr. Bernard Murphy, a friend and fellow blogger on SemiWiki.
Dan explores some key milestones in Bernard’s journey in semiconductors and EDA, beginning with a focus on nuclear physics. Bernard explains how he developed an interest in AI technology and applications. In this broad and informative discussion,… Read More
Taming Advanced Node Clock Network Challenges: Duty Cycle
As process nodes advance, circuit behavior becomes progressively more challenging to analyze and predict. Few systems reflect this challenge more clearly than the clock network. These large, complex networks no longer behave as ideal digital signals. Instead, they operate as distributed electrical systems shaped by non-linear… Read More



AI Bubble?