BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SemiWiki - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:SemiWiki
X-ORIGINAL-URL:https://semiwiki.com
X-WR-CALDESC:Events for SemiWiki
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260203T090000
DTEND;TZID=America/Los_Angeles:20260203T100000
DTSTAMP:20260429T160711
CREATED:20260114T022128Z
LAST-MODIFIED:20260114T022128Z
UID:365706-1770109200-1770112800@semiwiki.com
SUMMARY:Webinar: From C++ to Silicon: Fast\, Physically Aware\, AI-Driven Exploration with Rise Design Automation and Precision Innovations
DESCRIPTION:As hardware designs grow more complex\, architectural exploration is increasingly critical to delivering differentiated silicon. Teams frequently develop promising architectures only to discover late in the cycle that physical implementation is too costly or fails to meet key specifications. This challenge intensifies as designers integrate new accelerators — video\, audio\, ML\, or custom datapaths — rapidly expanding the search space. \nAI-based automation can help\, but only when each exploration trial provides cost metrics (area\, timing\, power) that are both fast and credible. Traditional parameter sweeps are slow. Full physical analysis is expensive. And without correlation to real implementation costs\, AI-guided exploration can simply produce the wrong answers faster. \nRise Design Automation and Precision Innovations are partnering to change this dynamic. Together\, they deliver fast\, accurate\, physically aware exploration loops — ideal for reinforcement learning\, iterative refinement\, and high-volume experimentation. \nRise Design Automation provides 10× faster High-Level Synthesis (HLS) with timing and area correlation within a few percent of downstream RTL-synthesis results. The Rise toolchain can also execute downstream tools “under the hood” and incorporate their feedback directly into HLS. Integrating Precision Innovations’ industry ready OpenROAD-based RTL→GDSII flow and OpenROAD Flow Scripts adds production-grade physical estimation with strong area and timing accuracy validated down to advanced nodes (including 2–3nm). \nCombined\, this integrated flow enables rapid exploration from high-level C++/SystemC/SystemVerilog through synthesized RTL to physically correlated PPA — supporting hundreds or thousands of trials without licensing barriers. \nThis session demonstrates how an integrated\, AI-driven architectural exploration solution from Rise Design Automation and Precision Innovations provides rapid\, actionable feedback to guide design decisions\, and how you benefit from these capabilities in your own design flow. \n\n\n\n\n\n\n\n\nWhat You’ll Learn\n\n\n\n\nIn this technical deep dive\, you’ll see how Rise Design Automation and Precision Innovations help you: \n\nRun AI-guided architectural exploration with fast\, physically grounded cost metrics\nModel and explore designs in C++\, SystemC\, or SystemVerilog and automatically generate multiple RTL variants\nUse Rise’s fast\, correlated HLS engine to accelerate exploration with credible RTL-level PPA\nLeverage Precision’s OpenROAD-based RTL→GDSII flow for production-grade physical estimation — enabling early visibility into area\, timing\, and implementation feasibility\nApply reinforcement learning and design agents to guide the search toward optimal architectures\nScale exploration across hundreds or thousands of trials without restrictive per-run licensing\n\nThis webinar highlights practical techniques to accelerate exploration\, increase confidence\, and improve architectural decisions earlier in the design process. \n\n\n\n\nLive Demonstration\n\n\n\n\nSee a complete exploration loop from high-level behavioral model through Rise Design Automation’s HLS\, through RTL synthesis\, and into Precision Innovations’ OpenROAD-based physical estimator — with AI-guided refinement driven by real PPA feedback \n\n\n\n\nWho Should Attend:\n\n\n\n\nHardware architects\, design engineers\, verification leads\, and research teams who want to: \n\nAccelerate architectural exploration for complex accelerators\nApply AI/ML or reinforcement-learning workflows to silicon design\nImprove correlation between high-level design\, RTL\, and physical estimates\nConfidently explore many architectural options without slow iteration loops\nShift verification and physical awareness earlier in the flow\nDeploy scalable exploration without restrictive per-run licensing\n\nWhether you’re adding a new accelerator to an SoC or exploring ML-driven design automation\, this session provides a practical foundation for leveraging Rise + Precision. \nREGISTER HERE
URL:https://semiwiki.com/event/webinar-from-c-to-silicon-fast-physically-aware-ai-driven-exploration-with-rise-design-automation-and-precision-innovations/
LOCATION:Virtual
ATTACH;FMTTYPE=image/png:https://semiwiki.com/wp-content/uploads/2026/01/Screenshot-2026-01-13-181938.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260205T090000
DTEND;TZID=America/Los_Angeles:20260205T100000
DTSTAMP:20260429T160711
CREATED:20260120T225257Z
LAST-MODIFIED:20260120T225257Z
UID:365903-1770282000-1770285600@semiwiki.com
SUMMARY:Webinar: Building Efficient\, Secure\, and Scalable AI Systems with UALink
DESCRIPTION:Date: Feb 05\, 2026 | 9:00 AM PST \n\n\nFeatured Speakers: \n\nVarun Agrawal\, Product Manager\, Synopsys\nJon Ames\, Product Manager\, Synopsys\n\nDiscover how UALink enables open\, scalable\, secure interconnects for AI workloads—and how Synopsys IP and VIP accelerate adoption. \nWhy You Should Attend: \n\nLearn about UALink advantages over proprietary interconnects for AI scalability and security.\nExplore open ecosystem benefits: multi-vendor interoperability and hyperscale efficiency.\nSee Synopsys solutions in action: IP\, VIP\, and transactors for streamlined design and verification.\nGain strategic insights for future-proofing AI infrastructure with open standards.\n\n\n\n\n\nFeatured Speakers\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nVarun Agrawal \nProduct Manager\, Synopsys \nVarun Agrawal is a product manager for verification IP\, virtual system adaptors\, and protocol solutions for hardware-assisted platforms at Synopsys. He has over 14 years of experience in functional verification with expertise in simulation\, emulation\, and virtualization domains. He holds a BTech in electronics and communications from NIT Hamirpur\, India\, and an MBA in marketing from India Institute of Foreign Trade (IIFT)\, New Delhi\, India \n\nJon Ames \nProduct Manager\, Synopsys \nJon Ames is a principal product manager for the Synopsys Ethernet IP portfolio. Jon has been working in the communications industry since 1988 and has led engineering and market activities from the early days of 10/100 Switched Ethernet through Metro and Transport variants to the latest Data Center and High-Performance Computing Ethernet technologies. Since graduating in Computer Science and Electronic Engineering the in UK\, Jon has worked at the leading companies in the networking and silicon solution industries. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nREGISTER HERE
URL:https://semiwiki.com/event/webinar-building-efficient-secure-and-scalable-ai-systems-with-ualink/
LOCATION:Online
ATTACH;FMTTYPE=image/jpeg:https://semiwiki.com/wp-content/uploads/2026/01/varun-agrawal-headshot-2qlt82ampts1766427720820ampresponsiveampfitconstrainampdproff.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260210T110000
DTEND;TZID=America/Los_Angeles:20260210T120000
DTSTAMP:20260429T160711
CREATED:20260107T111533Z
LAST-MODIFIED:20260107T111533Z
UID:365423-1770721200-1770724800@semiwiki.com
SUMMARY:Webinar: Meet Compact-Q DEER Spectrometer\, Your Gateway to Quantum Innovation
DESCRIPTION:Intro\n\n\n\n\n\n\n\nThe Compact-Q DEER Spectrometer is designed to support researchers in academia and industry to efficiently characterize quantum materials\, develop devices for quantum sensing\, advance and validate algorithms to control qubits\, and other applications in spin-based quantum technologies. The Compact-Q DEER system features a modern microwave architecture\, high-resolution AWG\, and digital signal processing schemes enabling high flexibility in addressing modern challenges of quantum technologies. \n\n\n\n\n\n\n\n\n\n\n\n\n\nWebinar Overview\n\n\n\n\n\n\n\nThe focus of this webinar will be to highlight the capabilities of the Compact-Q DEER spectrometer towards the characterization and coherent control of qubits for quantum technologies. Modern experiments in Quantum Information Science (QIS) demand a state-of-the-art microwave architecture\, fast\, high-memory\, high-resolution AWGs\, large transmission and detection bandwidths\, and modern digital signal processing features to create the most sophisticated pulse shapes\, quantum gates and read-out sequences. Having all of those features incorporated\, as well as operating at an intermediate frequency of 500 MHz\, and utilizing a cryogen-free 1.5 T magnet with integrated Variable Temperature Insert (iVTI) enabling temperatures from 2 K to RT\, the Compact-Q system meets modern demands and provides a versatile and high-fidelity platform for probing qubit properties and execution of quantum algorithms driving innovations in quantum technologies. \n\n\n\n\nWhat to Expect\n\n\n\n\n\n\n\nDuring this webinar\, we will demonstrate how the Compact-Q DEER is ideally suited for applications in QIS. We will show how broad-band echo sequences can be used to manipulate spin states and how electron spin coherences can be created and detected. We will explain the different spectrometer features\, the data acquisition platform along with different experiments\, highlighting how the Compact-Q can elevate your research in quantum information science (QIS). \n\n\n\n\n\n\n\n\n\n\n\n\n\nKey Learning Points\n\n\n\n\n\n\n\nVersatility\, high-performance\, and user-friendly operation of the Compact-Q DEER spectrometer will be highlighted along with: \n\nEasy to use resonator bandwidth control\nAWG generated pulses\, digital down conversion\, and FIR filtering\nPulse shaping and quantum gate optimization\nBroadband and selective inversion pulse schemes\nStudying spin dephasing mechanisms and materials characterization\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWho Should Attend?\n\n\n\n\n\n\n\n\nUndergraduate and graduate students in chemistry\, physics\, quantum information science\, material science\, and related fields\nEarly-career researchers\, postdoctoral fellows\, and instrument facility managers familiar or new to EPR spectroscopy\nProfessors and instructors teaching EPR spectroscopy or related courses\nSpectroscopy facility managers\nIndustry professionals\, scientists\, and engineers in materials science and quantum technologies industries\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nREGISTER HERE
URL:https://semiwiki.com/event/webinar-meet-compact-q-deer-spectrometer-your-gateway-to-quantum-innovation/
LOCATION:Virtual
ATTACH;FMTTYPE=image/png:https://semiwiki.com/wp-content/uploads/2026/01/Screenshot-2026-01-07-031446.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260217T100000
DTEND;TZID=America/Los_Angeles:20260217T110000
DTSTAMP:20260429T160711
CREATED:20260113T043754Z
LAST-MODIFIED:20260113T043754Z
UID:365670-1771322400-1771326000@semiwiki.com
SUMMARY:Webinar: How Secure Are Your Critical Aerospace & Defense Systems?
DESCRIPTION:Aerospace\, defense\, and other mission-critical technologies face rapidly evolving hardware threats. A hobbyist can add a single board computer to a consumer device. A nation-state can scale an exploit across critical infrastructure. The attack surface widens fast\, and the security implications are real. \nAdversaries are continuously developing techniques that can compromise mission-critical components\, sometimes before they even reach deployment. From side-channel analysis to fault injection\, attackers are finding new ways to extract sensitive data\, disrupt operations\, and manipulate critical systems. \nJoin us for a technical deep dive into how modern hardware attacks work in practice and what engineering teams can do to build more resilient systems. \nIn this session\, we’ll cover: \n\nReal attack examples on complex systems\, like satellite terminals and commercial drones.\nHow side-channel analysis techniques reveal power\, electromagnetic\, and unintended RF leakage that expose cryptographic operations.\nHow fault injection induces glitches to bypass authentication and break security logic.\n\nYou’ll also see a demo of our Fault Injection Laser System with our Inspector software. \nREGISTER HERE
URL:https://semiwiki.com/event/webinar-how-secure-are-your-critical-aerospace-defense-systems/
LOCATION:Virtual
ATTACH;FMTTYPE=image/png:https://semiwiki.com/wp-content/uploads/2026/01/Screenshot-2026-01-12-203709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260226T150000
DTEND;TZID=America/Los_Angeles:20260226T160000
DTSTAMP:20260429T160711
CREATED:20260217T205841Z
LAST-MODIFIED:20260217T205841Z
UID:366792-1772118000-1772121600@semiwiki.com
SUMMARY:GCU and TSMC’s MSI Pathway Webinar
DESCRIPTION:Description\nThis virtual session is your opportunity to explore Grand Canyon University and TSMC’s one-semester Manufacturing Specialist Intensive\, industry funded pathway. Join to find out how you can start building your future in semiconductor manufacturing trades. Whether you’re looking to upskill\, change career paths\, or take the first step toward hands-on training\, our team will walk you through program details and the enrollment process — all from the comfort of your home. \nBy clicking submit\, you give Grand Canyon University your consent to use automated technology to call and text you at the information above\, including your wireless number\, regarding educational services. You are not required to consent to receive educational services. GCU will never sell your information. By submitting this form\, you agree to GCU’s Privacy Policy located at https://www.gcu.edu/privacy-policy.php. \nREGISTER HERE
URL:https://semiwiki.com/event/gcu-and-tsmcs-msi-pathway-webinar/
LOCATION:Online
ATTACH;FMTTYPE=image/jpeg:https://semiwiki.com/wp-content/uploads/2026/02/c6a6e7ff-26ac-43e0-befa-d87f76d02722.jpg
END:VEVENT
END:VCALENDAR