Synopsys Inc

Today, we announced Synopsys AgentEngineer solutions, the industry’s broadest portfolio of domain-specific, long-horizon agents across verification, system validation, implementation, analog, manufacturing, and simulation and analysis workflows: https://bit.ly/4xMIMsU Built on the Synopsys Autopilot Platform, a comprehensive, open, and secure foundation for fully- autonomous design workflows, our AgentEngineer solutions can help customers improve engineering productivity, increase design quality, and accelerate closure.  ✔️ Open, secure architecture supports optionality across Synopsys, partner, and third-party models, infrastructure, tools, and agents  ✔️ Deep engineering context intelligence powered by industry-leading Synopsys EDA and simulation and analysis ground-truth engines  ✔️ More than 50 engagements with demonstrated results, including up to 50x faster verification closure, 20% higher coverage, 30% productivity improvement, and 2x better token efficiency   Click the link above to learn how Synopsys is advancing the industry shift from AI-assisted tasks to autonomous engineering. 

Record attendance, engaging conversations and a shared focus on innovation made #SNPSCONVERGE Korea 2026 a memorable event. ✨ We brought SNUG, Executive Dinner and Simulation World together under one roof to showcase our Silicon to Systems strategy and demonstrate how the combined strengths of Synopsys and Ansys are helping customers accelerate innovation. From visionary keynotes and customer success stories to AI demonstrations and hands-on experiences, attendees explored how AI, advanced silicon engineering, multiphysics simulation and systems design are shaping the future of engineering. We're grateful to everyone who helped make this year's event such a success and look forward to continuing the conversation.

🏆Five awards. One shared vision for the future of AI. At the #TSMCOIP2026 Ecosystem Forum, Synopsys was recognized with five TSMC OIP Partner of the Year Awards for innovations spanning agentic AI, advanced-node design enablement, co-packaged optics, and silicon-proven IP. These achievements reflect the power of collaboration and the incredible work of teams across Synopsys and TSMC who are helping customers overcome growing design complexity and accelerate AI systems innovation.

📢 JUST IN: At #TSMCOIP2026 North America, we announced new innovations with TSMC to accelerate the development of next-generation AI systems: https://bit.ly/4hljOdJ    These advancements span A14 design enablement, agentic AI workflows, silicon-proven IP, and multi-die designs.      Building on 30+ years of collaboration, Synopsys and TSMC continue to help customers bring their most advanced AI chips and systems to market. Read the full announcement at the link above.

While technical complexity is certainly a challenge in chip design, a different kind of limit is now coming into focus: 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆. As development cycles compress and design demands grow, the industry is nearing a point where engineering resources become the limiting factor. In the first installment of a four-part blog series exploring the future of autonomous engineering, we examine why sustaining innovation will require more than incremental productivity gains and how #AgenticAI could help redefine chip design workflows: https://bit.ly/4rmmmwR

The momentum across Southeast Asia continues to grow. 🙌   SNUG Vietnam and SNUG Singapore 2026 brought together customers, partners, and Synopsys experts for a week of knowledge sharing, collaboration, and technical innovation.   Attendees explored the latest advances in digital implementation, signoff, verification, analog and mixed-signal design, simulation, hardware verification, and Synopsys.ai, while connecting with peers across the semiconductor ecosystem.   Thank you to our customers, speakers, partners, and event teams for helping make both events a success. We are excited to continue driving innovation together across the region. #SNUG2026

What does it take to turn AI ambition into reality?   At #AIInfraSummit, we shared how Synopsys is helping tackle challenges across the AI infrastructure ecosystem, from AI-assisted chip design and cloud-based EDA to simulation technologies that support the development of intelligent physical systems.   Check out highlights from the events in our latest article. 👇

At #IEEEQuantumWeek 2026, research presented by IonQ and supported by Synopsys demonstrates significant progress toward accelerating computationally intensive engineering simulations through hybrid quantum-classical approaches: https://bit.ly/3TxfsZj The papers highlight: ✅ Improved performance for large-scale FEA workflows, with LS-DYNA wall clock time gains of up to 14.6% on complex models ✅ Progress in applying quantum computing to CFD using Quantum Lattice Boltzmann Methods ✅ Evidence that meaningful improvements can be achieved in today's NISQ era The research demonstrates how quantum technologies could accelerate some of the most computationally demanding aspects of engineering simulation. Learn more about our collaboration with IonQ and the future of quantum-enhanced simulation at the link above.

Bringing #PhysicalAI to life requires solving complex challenges across integration, safety, software, and silicon. Through the new Arm Total Design for Physical AI ecosystem, we're helping deliver pre-integrated IP, virtual development kits, and a complete silicon-to-systems design flow that accelerates innovation and reduces development risk. Together, we're helping build the foundation for the next generation of intelligent, real-world systems. Learn more. 👇