What happened
Physical Conference Spotlight Robotics Autonomous is at the center of this update. The Physical AI Expo North America will convene leading innovators at the San Jose McEnery Convention Center in May 2026, focusing on the rapid integration of AI into robotics, autonomous systems, and real-world applications.
Physical AI Expo North America Debuts in Silicon Valley
The Physical AI Conference, a key event shaping the future of robotics, autonomous systems, and real-world AI deployment, is set to take place in Silicon Valley this May. The Physical AI Expo North America will be hosted at the San Jose McEnery Convention Center on May 18–19, 2026, bringing together engineers, AI pioneers, and industry leaders who are advancing the integration of intelligence into physical machines and environments.
Emergence of Physical AI as the Next Frontier
As artificial intelligence increasingly moves beyond digital interfaces, the focus is now on embedding AI into physical systems such as robotics, industrial automation, and autonomous machines. This transition is driving significant investments across sectors including manufacturing, logistics, automotive, and defense, where AI systems capable of sensing, reasoning, and acting in physical spaces are becoming critical.
The Physical AI Expo is designed to explore this transformative shift, addressing the challenges and strategies involved in scaling Physical AI from concept to full production deployment.
Key Themes and Conference Agenda
The event agenda offers a blend of technical insights and enterprise-level deployment strategies, highlighting how organizations are operationalizing AI in the physical world. Central topics include:
- Physical AI and Robotics at Enterprise Scale
- Autonomous Systems and Industrial Automation
- AI Infrastructure, Data Platforms, and Compute
- Enterprise AI Deployment and Return on Investment
- Human-AI Collaboration
- AI Reliability, Transparency, and Safety
- Transitioning from Prototype to Production
- AI Developer Tools and Workflows
Two-Day Focus: Strategy and Real-World Applications
Day one will concentrate on AI strategy, enterprise transformation, autonomous intelligence, and data infrastructure necessary for large-scale Physical AI implementation. Day two shifts focus to practical applications, featuring robotics, automation, and autonomous systems moving from experimental stages to production environments.
Leaders in Physical AI Share Insights
The conference will feature speakers from top AI and robotics organizations, including Leslie Karpas, Head of Physical AI at NVIDIA; Arne Stoschek, VP AI and Autonomous at Airbus Acubed; Jose Alvarez, Director of Research at NVIDIA; Dr. Vinesh Sukumar, Vice President of AI at Qualcomm; Simon Ninan, SVP and Global Head of Strategy at Hitachi; Sungho Kim, CEO of Hyundai Global Software Center; Naresh Dulam, Senior VP of Software Engineering at JPMorgan; and Pierre-Alexandre Balland, Chief Data Scientist at CEPS and Co-founder of General Robotics.
Physical AI: From Vision to Operational Reality
Michael Hughes, Head of Conference Production, emphasized the event’s significance: “Physical AI is rapidly moving from concept to deployment. The conversation now extends beyond AI models to infrastructure, robotics, autonomous systems, and building AI that operates reliably in real-world environments at scale. Physical AI Expo brings together the companies and engineers making that future happen right now.”
About Physical AI Expo North America
Physical AI Expo North America is a premier conference dedicated to advancing robotics, autonomous systems, AI infrastructure, and enterprise deployment. The event fosters collaboration among technology leaders, engineers, and developers who are pioneering AI’s transformative impact on physical operations and intelligent systems worldwide.
The conference will be held at the San Jose McEnery Convention Center on May 18–19, 2026.
Fonte: ver artigo original
Related coverage: AI Chronicle analysis and updates.
Why it matters
This update influences the AI race across model providers, infrastructure leaders, and enterprise adoption decisions.
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