On January 14, 2026, at 7:00 am EST (10:00 am EST) Alliance Member company Synopsys will deliver a webinar “Advances in ATPG: From Power and Timing Awareness to Intelligent Pattern Search with AI” From the event page: As System-on-Chip (SoC) designs become increasingly complex, meeting test quality and cost goals requires advances in automatic test […]
Upcoming Webinar on Advances in Automatic Test Pattern Generation Read More +
San Jose, California – January 6, 2026 – SiMa.ai today announced the first integrated capability resulting from its strategic collaboration with Synopsys. The joint solution provides a blueprint to accelerate architecture exploration and early virtual software development for AI- ready, next-generation automotive SoCs that support applications such as Advanced Driver Assistance Systems (ADAS) and In-vehicle-Infotainment
Synopsys solutions accelerate innovation from systems to silicon, enabling more than 90% of the top 100 automotive suppliers to boost engineering productivity, predict system performance, and deliver safer, more sustainable mobility Key Takeaways: Synopsys will support the Fédération Internationale de l’Automobile (FIA), the global governing body for motorsport and the federation for mobility organizations
Key Highlights Multiyear collaboration spans NVIDIA CUDA accelerated computing, agentic and physical AI, and Omniverse digital twins to achieve simulation speed and scale previously unattainable through traditional CPU computing — opening new market opportunities across engineering. To further adoption of GPU-accelerated engineering solutions, the companies will collaborate in engineering and marketing activities. NVIDIA invested $2
This blog post was originally published at Synopsys’s website. It is reprinted here with the permission of Synopsys. As the saying goes, with great risk comes great reward. Because of the profound complexity and intricate dependencies between hardware and software, developing a custom AI chip is one of the most capital-intensive and high-risk endeavors in
10 Tips for First-Pass Silicon Success in AI Chip Development Read More +
Joep Boonstra, Synopsys Scientist at Synopsys, presents the “Introduction to Data Types for AI: Trade-offs and Trends” tutorial at the May 2025 Embedded Vision Summit. The increasing complexity of AI models has led to a growing need for efficient data storage and processing. One critical way to gain efficiency is… “Introduction to Data Types for
“Introduction to Data Types for AI: Trade-offs and Trends,” a Presentation from Synopsys Read More +
Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to
Gordon Cooper, Principal Product Manager at Synopsys, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Cooper demonstrates the powerful SiEngine AD1000 NPU and the robust toolchain including debugger, profiler, and simulator, which features Synopsys NPX6 NPU IP. Learn how the platform supports TensorFlow, ONNX, and
Synopsys Demonstration of Siengine’s AD1000 ADAS Chip, Powered by Synopsys NPX6 NPU IP Read More +
Gordon Cooper, Principal Product Manager at Synopsys, and David Jarmon, Senior VP of Worldwide Sales at Visionary.ai, demonstrates the companies’ latest edge AI and vision technologies and products in Synopsys’ booth at the 2025 Embedded Vision Summit. Specifically, Cooper and Jarmon demonstrate the future of low-light imaging with Visionary.ai’s cutting-edge real-time AI video denoiser. This
Guy Ben Haim, Senior Product Manager, and Gururaj Rao, Field Applications Engineer, both of Synopsys, demonstrate the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Ben Haim and Rao demonstrate how to optimize neural network performance with the Synopsys ARC MetaWare MX Development Toolkit. Ben Haim and
Synopsys Demonstration of Smart Architectural Exploration for AI SoCs Read More +
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