Events and Conversations
Meet us where the future of Physical AI takes shape
SafetyCert.AI joins engineers, technology leaders, safety professionals, and policymakers at selected events focused on physical AI, robotics, functional safety, and independent assurance.
Explore upcoming opportunities to discuss Dynamic Certification, emerging standards, AI-enabled safety functions, and the evidence required to move physical AI from innovation to trusted deployment.
Upcoming Events
Continue the conversation in person
Physical AI safety cannot be advanced by one discipline or organization alone. Progress depends on practical exchange among AI developers, robotics manufacturers, functional-safety specialists, technology platforms, operators, researchers, and conformity-assessment bodies.
The events below create opportunities to examine the technical and commercial questions shaping the next generation of safe autonomous systems.
Reynolds & Moore Physical AI & Safety Summit
October 13, 2026 | 1:00–5:00 p.m. EDT
MassRobotics | 12 Channel Street, Boston, Massachusetts
Shaping the future of safety in robotics and AI systems
Join Reynolds & Moore, SafetyCert.AI, and leaders from across robotics, artificial intelligence, functional safety, and certification for an afternoon focused on the safe deployment of Physical AI.
The Summit will explore how AI can be applied in safety-critical systems, how functional-safety requirements change as autonomous deployments scale, and what it takes to create credible evidence for real-world deployment and certification.
Topics include:
Robotics and AI safety
Functional safety at scale
Autonomous mobile robots operating around people
AI-enabled safety functions
Emerging standards, including ISO/IEC TS 22440
Testing, validation, and certification pathways
Lessons from large-scale deployments
The program includes speakers from Reynolds & Moore, SafetyCert.AI, FORT Robotics, Intel, Novanta, Software Quality Solutions by Qt Group, and Symbotic.
Admission: Complimentary, with limited space
NVIDIA GTC Berlin
October 20–22, 2026
Tempodrom and STATION-Berlin | Berlin, Germany
NVIDIA GTC Berlin brings together developers, researchers, startups, and business leaders for three days focused on artificial intelligence and accelerated computing.
The program includes more than 100 sessions spanning the full AI stack, with dedicated content on robotics, physical AI, industrial AI, accelerated computing, open models, AI infrastructure, and agentic systems. NVIDIA founder and CEO Jensen Huang will deliver the live keynote at the Tempodrom on October 21, with sessions, training labs, certifications, exhibits, and networking at STATION-Berlin.
For organizations developing physical AI, GTC Berlin offers an opportunity to explore how compute platforms, AI models, safety architectures, robotics applications, and assurance pathways are converging.
Connect with SafetyCert.AI
Meet with our team to discuss:
Dynamic Certification for evolving AI-enabled products
Independent testing of AI-enabled safety functions
NVIDIA Halos ecosystem assurance
Certification pathways for robotics and physical AI
ISO/IEC TS 22440 readiness
Change-impact assessment and targeted revalidation
NVIDIA GTC DC
November 30–December 3, 2026
Ronald Reagan Building and International Trade Center | Washington, D.C.
Physical AI, public-sector innovation, and trusted deployment
NVIDIA GTC Washington, D.C. brings together developers, researchers, industry partners, public-sector professionals, and policymakers to examine how AI is driving innovation across the United States.
The conference will feature a keynote from NVIDIA founder and CEO Jensen Huang, expert sessions, live demonstrations, exhibits, hands-on laboratories, certifications, and full-day workshops. Program topics include physical AI and robotics, AI infrastructure, open models, high-performance computing, AI for science, and the technologies supporting responsible deployment at scale.
For physical AI companies, the event creates an important forum for connecting technical innovation with safety, public trust, policy, procurement, and independent assurance.
Connect with SafetyCert.AI
Meet with our team to discuss:
Independent assurance for physical AI
Dynamic Certification across software and model releases
Evidence for customer, regulator, and public-sector confidence
AI safety testing and reproducible acceptance criteria
Product-certification readiness
Assurance frameworks for platforms and technology ecosystems
What we discuss
From emerging technology to defensible assurance
Dynamic Certification
Maintain confidence as AI models, software, hardware, applications, and operating environments change.
AI-enabled safety functions
Define measurable safety claims and evaluate perception, decision-making, robustness, uncertainty, and failure behavior.
Reproducible validation
Create explicit success thresholds that support consistent experimental decisions across repeated trials.
Certification pathways
Connect functional safety, AI-specific requirements, testing, technical evidence, and independent certification decisions.
Lifecycle change assurance
Determine what changed, what evidence remains valid, and what targeted revalidation is required.
Ecosystem assurance
Establish repeatable evaluation pathways across technology platforms, robot manufacturers, integrators, and deployments.
Meet with SafetyCert.AI
Make the most of the event
If you are attending one of these events, schedule time with SafetyCert.AI to discuss your product, safety function, evidence gap, or certification pathway.
A focused introductory meeting can help clarify:
The safety decision your evidence must support
The standards and requirements that may apply
The evidence you already have
The gaps that could delay assessment or deployment
The most practical first step toward Dynamic Certification