Today at Converge, we added yet another feather to our Trailblazer cap with the introduction of the industry’s first orchestrated multi-agent workflow with adaptive learning for design and verification.  Remarkably, this comes exactly one year after we debuted the pioneering L1-L5 framework for chip design workflow autonomy. I was delighted to open the inaugural Synopsys.ai Innovation Experience at SNUG, where I had the opportunity to provide a preview of this groundbreaking technology. Honored to be part of the Synopsys AI team that is pushing boundaries and accelerating innovation to meet the evolving needs of our industry. #Converge #SNUG https://lnkd.in/ghua4e22 https://lnkd.in/gn5ttpVe

Yesterday, I had the opportunity to participate in a highly professional and well-executed webinar hosted by the Virtium LLC / Virtium Embedded Artists AB teams. The session was insightful and thoughtfully structured, showcasing a powerful development kit built on NXP Semiconductors and Renesas Electronics application processors, combined with an integrated DEEPX AI accelerator. What stood out in particular was the clarity and simplicity of the live demonstration. The team did an excellent job of illustrating how seamlessly the platform can be used, making advanced AI capabilities more accessible for real-world embedded applications. For anyone interested in edge AI, embedded systems, or next-generation development platforms, this is definitely worth a closer look. I highly recommend watching the full video below 👇 More information on RZ/G3E + DX-M1 : https://lnkd.in/gAZC5fjZ I.MX8M Mini + DX-M1 : https://lnkd.in/diqgmqC2

Last week, we (Virtium LLC) hosted a highly professional and well-executed webinar together with ipXchange. The session provided valuable insights into a powerful development kit built on NXP Semiconductors and Renesas Electronics application processors, combined with an integrated DEEPX AI accelerator. Our team showcased how seamlessly the platform can be used, making advanced AI capabilities more accessible for real-world embedded applications. For anyone interested in edge AI, embedded systems, or next-generation development platforms, this is definitely worth exploring. We highly recommend watching the full video below 👉 https://lnkd.in/dePTcPip More information: 🔹 RZ/G3E + DX-M1: https://lnkd.in/gx8GtuGF 🔹 i.MX8M Mini + DX-M1: https://lnkd.in/gmdaVuAt

Last week, we hosted a webinar showcasing a development kit built on NXP and Renesas processors with an integrated DEEPX AI accelerator. The live demo made advanced AI capabilities feel really accessible for real-world embedded applications. Checkout the full video. Link below!

Today, MIPS and INOVA Semiconductors GmbH announced a collaboration to deliver a robotics control reference platform for advanced humanoids and physical AI edge platforms. The platform will enable mixed-criticality compute featuring real-time control loops and secure AI workloads, manufactured on GlobalFoundries (GF) FDX platform to deliver high quality, leading performance, and ultra-low power operation. By pairing INOVA’s high-speed communication links with MIPS’ open RISC-V compute and mixed signal technologies, this scalable reference platform turns ‘sense-think-act-communicate’ into a Physical AI building block that lowers risk, lowers cost, and accelerates time to market. Read more in the press release and visit us at embedded world Exhibition&Conference or Synopsys Inc Converge this week.

AI workloads at the edge are becoming more demanding and the Arm Flexible Access portfolio continues to evolve to support them. New additions, including Arm Ethos-U85 NPU, Corstone-320 platform and Cortex-M52, expand what’s possible for real-time, on-device AI and advanced DSP workloads. With Arm Flexible Access, chip design teams can explore and evaluate these technologies, iterate across configurations, and defer license fees until production. Discover what’s new and how it enables faster, lower-risk silicon development: https://okt.to/IahoFc

I’m excited to see the next generation of Edge AI applications powered built on the latest Arm compute products. Arm Flexible Acces makes it easier than ever before for hundreds of silicon companies and OEMs to innovate on Arm.

Proud to see Arm Flexible Access continuing to evolve 🚀 Arm has just broadened the scope of Arm Flexible Access, reinforcing our commitment to giving SoC design teams faster, simpler and more transparent access to Arm IP. At its core, Arm Flexible Access is about one thing: Removing friction from innovation. 🔹 Access a broad portfolio of proven CPU, system and related IP 🔹 Design and prototype before committing to production 🔹 Work within a clear, predictable commercial framework As outlined in our program overview, Arm Flexible Access is focused on maximizing partner success and streamlining the way teams scope projects and reach tape-out – a simpler, better experience from evaluation to silicon . For startups, scale-ups and established silicon providers alike, the ability to experiment, pivot and scale without upfront licensing barriers is increasingly critical – especially in fast-moving areas like AI, IoT and edge computing. We’re seeing first-hand how this model is accelerating design starts, increasing IP adoption per project, and strengthening long-term subscription relationships. Excited for what this next phase unlocks for our partners. https://lnkd.in/eGwfVuju #Arm #FlexibleAccess #Semiconductors #SoC #EdgeAI #Innovation

Over 400 chips have been developed through Arm Flexible Access — and the portfolio continues to expand! New Edge AI additions enable Flexible Access members to design and optimize workloads before tape-out, removing barriers to innovation. Excited to continue partnering with startups and established companies across the ecosystem! https://okt.to/75sNcQ

NVIDIA needed a benchmark to validate Nemotron 3 Super at GTC. They used Qodo's. Standard coding benchmarks weren't enough. Real code review - multi-file PRs, production codebases, precision and recall - is a harder problem. Jensen Huang included us in his keynote today. Generation is accelerating. Verification is the layer that makes it enterprise-ready. That's what we're building.