Intel’s next-generation 14A manufacturing process is showing unusually strong early progress, with defect density falling faster than the company expected. The improvement gives Intel a technical boost as it attempts to restore confidence in its manufacturing operation, win foundry customers and demonstrate that years… Read More
Intel Diamond Rapids: Building Xeon Up, Out, and Through SiliconAkhilesh Kumar & Krishnakanth Sistla, Intel Diamond Rapids…Read More
A comeback journey: Rebuilding confidence through formal verificationWhen Lindu Krishna joined Axiomise after a career…Read More
Intel Wildcat Lake: Right-Sizing Silicon Without Sinking PerformanceLance Hacking, Intel Intel Core Series 3, code-named…Read MoreGenAlpha Brings a Practical Approach for Analog AI to DAC 2026
Agentic AI was everywhere at DAC 2026. Various focus areas were presented that covered many parts of the chip design flow. Verification and debug were a popular topic since so much time is spent there. Analog design is another pressure point. Every chip design has analog content. While the size of the analog blocks may not … Read More
Exploiting agentic automation cost-effectively. Innovation in Verification
Frontier models (Claude, etc.) are very powerful but becoming expensive for high token counts. Methods to exploit a mix of models, including local open-weight models, are attracting attention. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer… Read More
CEO Interview with Phillip Stanley-Marbell of Signaloid
Phillip Stanley-Marbell is the founder and CEO of Signaloid. Up until September 2025, he was a full Professor (Chair of Physical Computation) in the Electrical Engineering Division of the Department of Engineering at the University of Cambridge, where he led the Physical Computation Laboratory. He completed his PhD at Carnegie… Read More
Five Billion Pulses Later: What DUV Optics Testing Reveals About Semiconductor Tool Uptime
By Dr. Sabina Kuprėnaitė
Deep-ultraviolet optics used in semiconductor lithography may be exposed to billions of pulses over their service life. That creates a qualification challenge that initial reflectance specifications or laser-induced damage thresholds alone cannot answer.
A mirror may meet its optical specification… Read More
CEO Interview with Stephen Strausser of VON ARDENNE North America, Inc.
Stephen Strausser was recently appointed CEO of VON ARDENNE North America, Inc. where he will lead the company’s regional strategy, operations, customer engagement and growth initiatives across the US, Canada, Mexico and South America.
Stephen has a powerful blend of business acumen, operations, service/support and engineering… Read More
Podcast EP363: The Impact of an AI Factory on Production Deployment with NeuReality’s Moshe Tanach
Daniel is joined by Moshe Tanach, co-founder and CEO of NeuReality. Prior to founding the company, he held senior engineering leadership roles at Marvell and Intel, where he led complex wireless and networking products from architecture through mass production. He also served as AVP of R&D at DesignArt Networks (later acquired… Read More
Will Agentic AI Help the Open-Source EDA Market?
Agentic artificial intelligence is likely to give the open-source electronic design automation market a meaningful boost. Its biggest contribution will not be the immediate replacement of established commercial platforms from Cadence, Synopsys, or Siemens. Instead, agentic AI can make open-source tools easier to use, … Read More
TSMC’s Overseas Fabs Are Paying Off
TSMC’s overseas fabrication strategy is beginning to deliver its intended return: not immediate cost parity with Taiwan, but manufacturable geographic redundancy, closer integration with major customers and access to subsidized capacity in strategically important markets. Arizona and Kumamoto are already producing … Read More
Crescent Island: Turning Memory Capacity into Agentic AI Throughput
Intel’s Crescent Island is a discrete data-center GPU designed for agentic AI inference, where performance is constrained by more than matrix arithmetic. Multi-step agents impose latency through repeated model calls and tool interactions, consume large memory capacity for weights and long-context key-value caches, and… Read More



Huawei Can’t Shrink Its Chips, So It’s Folding Them