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AI is reshaping silicon architecture. Our latest ebook explores how silicon-proven IP helps engineering teams reduce integration risk, improve first-pass success, and accelerate time-to-market across AI, data center, edge, and physical AI applications: bit.ly/3TymrRc

#Synopsys showcases end-to-end engineering solutions for pervasive intelligence, spanning silicon design, IP, simulation, and analysis at #DAC2026. #SemiEDA #Semiconductor #Semiconductors semiwiki.com/eda/synopsys/3…

Thanks to everyone who joined us in Penang recently for the Synopsys Innovation Seminar! From AI-driven design optimization and Multiphysics signoff to multi-die innovation, the discussions highlighted the rapid pace — and growing complexity — of silicon design.

Hydrogen is playing an increasingly important role across industries, but transport remains a critical engineering challenge. Ansys, part of @Synopsys researchers recently published new results, introducing a multiscale modeling framework for hydrogen diffusion in polycrystalline metals. By connecting atomic‑scale physics to engineering-scale simulations, this framework enables microstructure‑informed strategies to design safer, more reliable materials for hydrogen‑critical applications. Learn more at: bit.ly/4eY5Aja

What if #DigitalTwins could help improve prenatal heart diagnoses? Tune in to the @BBCNews Tech Life podcast, where Synopsys’ Mark Palmer discusses groundbreaking fetal heart research from @KingsCollegeLon: bit.ly/4vZswV8

From industry keynotes and technical tracks to panel discussions and award celebrations, #SNUG26 India brought the semiconductor ecosystem together in Bengaluru. Watch the recap video below. 👇

Great to catch up with @ArjunKharpal at #RAISE2026. cnbc.com/video/2026/07/… As AI adoption grows, inference is driving the next wave of opportunity.

The momentum around Physical AI was impossible to miss at #RAISE2026 & #MACHINA2026. From discussions on democratizing engineering and cyber resilience to our collaboration with @nvidia, it was an inspiring week of innovation and connection. Learn more: bit.ly/4gxFu7R

Silicon-powered, software-defined products are pushing electronics digital twins (#eDTs) to the forefront. In this Q&A, learn how eDTs enable: ✔️ Earlier validation ✔️ Faster development ✔️ Predictive maintenance ✔️ Continuous software innovation Read more: bit.ly/4bAx4ZY

Midday on the Master Stage belonged to OpenAI, with two sessions from Sachin Katti (@sk7037 )(Head of Industrial Compute) bookending a fireside on the economics of speed. The throughline: AI has stopped being something you chat with and become something that does the work. In his keynote, Katti made the case that the shift is already total inside @OpenAI . Sachin Katti: "Pretty much the entire company now produces its output tokens through Codex, not chat." And it isn't just engineers, he noted. Customer support, legal, sales and go-to-market now run most of their knowledge work through an agentic interface, with research token use up nearly 50x, and model releases compressing from every six to nine months to roughly one a month, because AI is now speeding up its own research. He then sat with @cerebras co-founder and CEO @andrewdfeldman , hosted by RAISE's @HenriDelahaye , for the harder economic argument: that speed itself is the product. Feldman's framing was the sharpest line of the hour. Andrew Feldman: "Why is there no market for slow search? Why is there no market for dial-up internet?" Give people fast tools, he argued, and they use them more, on harder problems, so the metric that matters isn't tokens burned but productivity delivered. He pointed to a compute deal north of $20 billion and 200 new megawatts across Lyon, Norway and Finland, much of it to meet OpenAI's demand. Katti's version of the same point: after quality comes interactivity, and their next frontier model [see flag: your notes say GPT-5.6] is built to run about an order of magnitude faster than anything out there. Just before them, @Synopsys CEO @SassineGhazi , with CNBC's @ArjunKharpal , took the same automation story down to the silicon, arguing there's no chip designed today without Synopsys, and that chip design has reached "L4" autonomy, a cognitive layer that reasons and calls agents on its own. Two years ago he'd have put full physical-implementation automation five or six years out, he admitted. He's been wrong, in the same direction, two years running. Chat commoditizes. Agents do the work. And speed, not size, is becoming the product. #RAISE2026 #AI #OpenAI #Paris

We're taking the stage along side global AI leaders at #RAISE2026 in Paris. Don’t miss Synopsys President & CEO @SassineGhazi in conversation with @CNBC’s @ArjunKharpal on the democratization of engineering: bit.ly/4byUi2C

👀Check out the Synopsys PCIe PHY IP prototype for the upcoming PCIe 8.0 at 256 GT/s, including a preview of what’s ahead as the spec evolves, targeting future AI, storage, and high-speed networking bandwidth needs. Learn more: bit.ly/4god5B9

As the summer rages on, everyone is looking for ways to quickly cool off. ☀️ An Automatic icemaker can keep cold cubes flowing steadily throughout the day. You might think the process is straightforward, but small details like icemaker mounting angle, surface tension of the materials, and even flow rate, can significantly influence how water fills, drains, and ultimately freezes. 🧊 Learn how Ansys FreeFlow can visualize water behavior, and the advantages of simulation-driven design over traditional physical prototyping: bit.ly/4wuS7W3

Next-gen compute demands smarter chip-to-chip connectivity. In our upcoming webinar, we'll explore how PCIe and CXL are enabling scalable architectures — from host-to-accelerator to multi-die platforms. Register now: bit.ly/4bxp4cb

🚨Major milestone alert! Synopsys has achieved the industry’s first #UCIe-A silicon operating at 40G per lane, advancing higher-bandwidth, scalable multi-die designs. Learn more about this breakthrough: bit.ly/3QV5Xls

Co-design is the focus of our latest #CustomerSpotlight. Learn how we are collaborating with @SonySemicon_JP to improve the efficiency and quality of their image sensor designs: bit.ly/4vaHA16

Yervant Zorian, chief architect and fellow at Synopsys, discusses how to ensure that memory is fully tested and repaired. youtu.be/QxU09Tkl_Mg?si… #14A #18A #CIM #DRAM #HBM #SRAM #MRAM #memory #memorytest @Synopsys

Curious how next-gen designs are preparing for higher bandwidth demands across AI, storage & networking as the ecosystem moves toward PCIe 8.0? Here's a preview of a PCIe 8.0 controller simulation showing link training scaling up to 256 GT/s. Learn more: bit.ly/4oWN6CY

Software diversity breaks representative workload; cannot rely solely on software-driven validation for coverage. Modern #SoCs create interaction bugs that require extreme, rare conditions real software may never trigger. #Synopsys #Semiconductor #SemiEDA semiwiki.com/eda/synopsys/3…

From engineering complexity and physical AI to next-generation networking and multi-die design, the latest edition of #SynopsysSignal explores some of the trends and technologies shaping the future of innovation. Read the latest edition and be sure to subscribe. bit.ly/4v3Prxh