Software defined vehicles (SDVs) are transforming the automotive industry. Today’s vehicles are connected computing platforms that rely on advanced processors, artificial intelligence (AI), over the air (OTA) software updates, cloud services, and vehicle to everything (V2X) communications. Every electronic … Read More
Synopsys Demonstrates Leadership in AI-Powered Engineering at 2026 DAC Chips to Systems ConferencePurple was in fashion at the 2026 Design…Read More
CEO Interview with Joseph Krause of Radical AIJoseph F. Krause is an American materials scientist,…Read More
DAC 2026: The Trouble with John Cooley’s Troublemaker PanelFor quite a few years, John Cooley has…Read More
The Difference Between TSMC CoWoS-S and CoWoS-RCoWoS-S and CoWoS-R are two versions of TSMC’s…Read MoreFormal Acceleration on FPGA. Innovation in Verification
Extending hardware acceleration to formal verification is a powerful idea to extend hardware acceleration to a verification domain that has not got much attention for acceleration. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and lecturer at Stanford,… Read More
Previewing FMS 2026: The Next Frontier of Enterprise Memory, CXL, and AI-Era Storage
For anyone tracking enterprise infrastructure, the storage landscape is moving at a breakneck pace. The explosive growth of generative AI, multi-million token context windows, and massive data-centric workloads have pushed traditional memory and storage architectures to their absolute limits.
This August, the industry… Read More
ASIC-to-FPGA Turnkey Prototyping Bundle: A Practical Path to Earlier Hardware Validation
For ASIC design teams, the gap between RTL simulation and first silicon remains one of the most consequential stages of the development cycle. Simulation provides controllability and visibility, but it cannot always reproduce the software workloads, interface behavior, clock interactions, and sustained system activity… Read More
Interview with Simon Davidmann, AI + EDA Researcher and Former CEO of Imperas
Simon Davidmann is a renowned EDA industry pioneer and serial technology entrepreneur with more than 40 years of experience in simulation and verification. After Synopsys acquired Imperas, which he founded in 2005, he was Synopsys Vice President responsible for Processor Modeling and Simulation. He left Synopsys in 2025 and… Read More
Quadric Extends Series C to $46 Million as Edge AI Demand Accelerates
Quadric has extended its Series C financing to $46 million through a second close led by the International Finance Corporation, the private-sector investment arm of the World Bank Group. The transaction raises Quadric’s total capital secured to approximately $90 million and strengthens its ability to commercialize programmable… Read More
Security by Design: Arteris Expands Its Partnership with Arm
Arteris has expanded its partnership with Arm to deploy Cycuity Radix hardware security assurance technology across additional next-generation Arm central processing unit (CPU) programs. The expansion follows five years of collaboration and successful use of Cycuity Radix on select Arm CPU designs, and it moves hardware… Read More
How early symmetry validation eliminates costly late-stage respins
By Mauli Shah, Product Engineer, Siemens
Analog and mixed-signal design teams face a persistent challenge that directly impacts tape-out schedules and project predictability: symmetry violations discovered at signoff trigger expensive respins, delay schedules and create unpredictable iteration cycles. Despite symmetry… Read More
Rethinking Formal Verification in the AI Era
By Kanav Arora, ML Researcher at ChipAgents
Most hardware teams already understand why formal verification matters. It can expose corner cases that simulation may never reach and establish critical behaviors across the modeled state space.
The unresolved question is not whether formal works. It is why formal remains a specialist… Read More
CEO Interview with Ann Wu and Akash Levy of Silimate
Ann Wu is Co-founder & CEO of Silimate. Before Silimate, Ann designed several generations of custom silicon at Apple, helped manage inference ASIC programs at Meta, and led product strategy and execution at Celestial AI. Ann has a M.S. in Electrical Engineering from Stanford University and a B.S. in Electrical Engineering… Read More



ASML High-NA EUV is Not Ready for High-Volume Production