Building Physical AI
- Date
- 2026-04-30
- Host
- Intelligent Machine Guild
About this event
Physical AI gets real when software has to deal with motion, sensing, uncertainty, and the messy constraints of the physical world. Building Physical AI is an in-person gathering for people working at that intersection of AI, robotics, autonomy, and real-world systems—where ideas are tested not just in models and benchmarks, but in environments that push them to perform. If you're excited by systems that perceive, decide, and act, this event is designed to put you in the room with others who care about the same hard problems. Expect thoughtful conversations, practical perspectives, and a community that understands that building for the physical world requires a different level of rigor. About the Event Building Physical AI is a community-focused event centered on the technologies, workflows, and challenges involved in creating intelligent systems that operate in the real world. That can mean robotics, autonomous machines, embodied AI, sensor-driven systems, or any product where intelligence has to connect tightly with hardware, control, and environment. The purpose of the event is simple: bring together builders, researchers, operators, and curious practitioners to share how physical AI actually gets made. This is not a generic AI meetup. The focus is on systems that need to sense, reason, and act under real-world constraints like latency, safety, reliability, edge deployment, and changing conditions. Because the event is in person, the format is built around direct interaction. That matters for a topic like this. Some of the most useful conversations in physical AI happen when people can compare architectures, deployment tradeoffs, testing strategies, and lessons learned face to face. Whether you're deep in the field already or just moving from software-only AI into embodied systems, this event creates a setting where the discussion can be both technical and grounded. You should leave with a sharper sense of what the field looks like right now, where it's heading, and what it takes to build systems that work beyond the lab. What to Expect Expect a structured but conversational event experience focused on practical exchange rather than passive listening. The exact flow may vary, but the emphasis will be on giving attendees multiple ways to engage with the topic and with each other. You can expect a mix of: Context-setting conversations around what physical AI includes today, from autonomy and robotics to perception, planning, simulation, and deployment Practical discussion about the challenges of building systems that interact with the physical world Peer exchange with people working on related problems across engineering, research, and product Community connection with others interested in where AI meets hardware, motion, and real-world execution A strong in-person event creates room for both broad and detailed conversations. Some attendees may come to better understand the landscape; others may want to compare implementation choices, stack decisions, or operational constraints. The event is designed to support both. You should also expect the conversation to go beyond hype. Physical AI is compelling precisely because it forces hard questions: How do you make systems robust? How do you close the loop between perception and action? How do you test safely, iterate quickly, and deploy reliably? Those are the kinds of questions that make this gathering useful. Why Attend If you work anywhere near autonomy, robotics, embodied intelligence, or AI systems with real-world feedback loops, the value of this event is being around people who understand the complexity of the work. You'll be able to move past surface-level AI talk and into more meaningful discussion about what building actually requires. This is a chance to sharpen your thinking about the field. You may come away with a clearer sense of the current tooling, the bottlenecks teams are facing, the tradeoffs between cloud and edge intelligence, or the role of data, simulation, controls, and system integration in successful products. It's also valuable if you're looking for the right community. Physical AI can sit between multiple disciplines, which means many builders end up operating across research, software, hardware, and operations at once. Being in a room with others doing similar work can help you find collaborators, peers, and new ways of framing your own challenges. Most of all, attend if you want your understanding of AI to be grounded in reality. Building for the physical world raises the bar. That makes the conversations more honest, the lessons more transferable, and the connections more relevant. Practical Details Location: In person When: Thursday, April 30 at 3:00 PM PDT Because this is an in-person event, plan to be there ready to engage directly with other attendees. The value here comes not only from the formal program, but from the side conversations, follow-up questions, and spontaneous exchanges that happen when people working on similar problems share the same room. If you're deciding whether this belongs on your calendar, a good rule is this: if your interests include physical AI, autonomy, embodied systems, robotics, or real-world machine intelligence, this event is likely to be worth your time. The topic is focused, the format is social and practical, and the setting is built for people who want substance. Set aside the afternoon, come prepared to talk shop, and expect to leave with stronger context, better connections, and a more grounded view of what it takes to build intelligence that operates in the physical world.
Who should attend
This is for you if you want more grounded, higher-signal conversations about AI systems that interact with the real world. - **You build robotics or autonomous systems** and want to exchange ideas with others working on perception, planning, control, deployment, or end-to-end system design. - **You work in AI but are moving beyond software-only environments** and want a clearer understanding of what changes when models have to operate with hardware, sensors, latency, and real-world uncertainty. - **You’re a founder, engineer, or product leader** exploring products that depend on physical-world intelligence and want practical insight into the challenges and opportunities in the space. - **You’re a researcher or technical practitioner** interested in embodied AI, physical reasoning, or real-world learning systems and want to connect your work to implementation and deployment. - **You care about the future of autonomy and physical systems** and want to meet a community that takes both the technical depth and operational reality seriously. - **You value in-person conversations with serious peers** and prefer focused discussion over broad, generic AI networking.