AI is evolving from assisting engineers to executing complete workflows.
Meet Synopsys AgentEngineer solutions, a portfolio of long-horizon super agents that can reason through complex engineering objectives, orchestrate specialized task agents, and adapt along the way: https://t.co/Tk6jkthTIP
Great silicon starts with great collaboration.🤝
Together with @SamsungDSGlobal, we’re helping customers simplify complexity, accelerate time to market, and turn innovative ideas into production-ready silicon. More: https://t.co/ZPvvOppwRT #SamsungSemiUS
Software development doesn’t have to wait for silicon.
Synopsys is bringing virtual prototyping to the @Infineon AURIX RC1 microcontroller family, helping automotive teams develop, integrate, and validate software earlier. Learn more: https://t.co/wMrohlgxEi
What’s next for computational lithography? 🔬
From defectivity-aware ILT to AI-assisted workflows, see what better models + more compute are making possible at advanced nodes. Register now: https://t.co/soyXGKegv6
As wildfires become more frequent and destructive worldwide, early detection is critical. 🔥
@OroraTech uses satellite-based infrared imaging to detect wildfires in near-real-time. With #simulation solutions from Ansys, part of @Synopsys, the company reduced optomechanical development effort and design iteration time by 50%, helping to accelerate the development of a robust thermal camera design for space.
🚒 Read more: https://t.co/zjsIReGezr
#WildfireDetection #SpaceTech
#PhysicalAI demands a new level of integration.
Through the @Arm Total Design for Physical AI ecosystem, we're helping accelerate development and reduce risk with pre-integrated IP, virtual development kits and a complete design flow. https://t.co/DkjpswPwXb
Save the date: Synopsys plans to report Q4 and full-year FY26 earnings after market close on Tues. December 8th. Find the details and a link to register for our earnings call here: https://t.co/u4F51pDAGs
🏎️ Every detail matters on the track. See how @BMWMotorsport uses Synopsys simulation to explore more design options, reduce physical testing and refine its race cars. Watch simulation in action: https://t.co/VHkMnDz27v
The Semiconductor Hub at @UCLA Samueli has named 10 doctoral students to its inaugural fellowship cohort, supporting research from semiconductor materials and chip architecture to photonics and AI. https://t.co/v2HldvFGNf @Broadcom@Applied4Tech@GlobalFoundries@Meta@Synopsys
We’re expanding access to advanced chip design in Europe.
Through EuroCDP, startups, SMEs, and research teams will gain access to Synopsys EDA solutions to help move innovative ideas closer to silicon. Learn more: https://t.co/m0AlbLMU9n
AI is shaping the future of chip design and Synopsys is leading the way. Synopsys’ ground-truth EDA engines turn AI-driven exploration into verified designs, grounded in physics and ready for manufacturing. AI reasons and explores. Synopsys generates and validates.
AI agents in chip design will start with the work engineers least want to do: data cleanup, timing constraints, and chip partitioning. @Synopsys's VP of AI and Machine Learning, Thomas Andersen, tells @BrendanBurkeX and @MattKimball_MIS that full spec-to-tape-out automation is doable, but won't arrive in the next six to twelve months. $SNPS
Big milestone for @tetramem. 🎉 Following our conversation on analog in-memory computing and edge #AI, the team successfully taped out its new 12nm MLX300 AI SoC using Synopsys EDA solutions through Synopsys Cloud FlexEDA: https://t.co/WxUdaNAapx
How do you keep scaling AI infrastructure when energy can’t scale at the same pace? Learn how full-stack co-design, data-movement optimization, and AI-driven engineering are helping the industry get more intelligence out of every watt: https://t.co/7xo6ou77YK
High-performance computing demands ever-increasing design efficiency. Learn how @HPE's Slingshot team is using Synopsys tools to accelerate chip development while maintaining quality and schedule goals. https://t.co/fhAlOpoqE8
Physical AI is transforming intelligence from something that lives in software to something that operates in the real world.
Experts from @Arm, @NVIDIA, @SchaefflerGroup, and Synopsys discussed how simulation, digital twins, robotics, and AI are converging to create intelligent systems that can perceive, decide, and act safely in physical environments.
Watch now: https://t.co/e0B2zkflhL
For decades, the HPC industry designed around the server. In AI factories, the rack is the new design unit. Read Part 1 of our Architecting AI Factories blog series: https://t.co/eyI84w2Mcd
General-purpose AI models source answers from the web, a weak fit for chip design, where accuracy has to be 100%. @Synopsys’s Thomas Andersen tells @BrendanBurkeX and @MattKimball_MIS how pre- and post-training with expert knowledge closes the gap. $SNPS
AI is asking more of chips and raising new questions about how they're developed.
Synopsys President & CEO @SassineGhazi talks AI agents, autonomous engineering, and more with @SemiEngineering’s @Chip_Insider: https://t.co/IjKcdoF5eK
Multi-die architectures, 3D integration, and co-packaged optics are driving the need for early multi-physics analysis, deeper ecosystem collaboration, and AI-enabled design workflows.
Experts from @AMD, @Broadcom, TSMC and Synopsys discussed this and more. Watch on demand now: https://t.co/d8QhMv0X81
Agentic systems can run the loop, but the objectives, parameters, and oversight remain uniquely human. That's orchestration, and it's becoming core engineering work. Read the final part of our agentic AI blog series: https://t.co/K7I8sNZRjM