From 3D Data to World Models: Research Challenges in Physical AI

Join us for a deep dive into the latest advancements in generative 3D and physical AI! 🌐 This event is crafted for researchers and technical practitioners who are closely engaged with the technology. We'll tackle critical questions that influence real-world progress, including:

• How is 3D data captured, structured, enriched, and evaluated? 📊
• What do world models require from training data? 🧠
• Where are our current data pipelines falling short? 🤔
• What infrastructure choices significantly impact performance? ⚙️

We'll explore topics like generative 3D, physical AI, data quality, and multimodal representations, focusing on how we can translate raw assets into model-ready inputs.

Featured Speakers:
🌟 Rey Pocius, M.S. - Machine Learning Researcher at Protege, specializing in spatial and physical intelligence.
🌟 Franz Tschimben - CEO and Co-founder of ALLSIDES, with expertise in computer vision and digital twin infrastructure.
🌟 Francis Williams - Creator and Technical Lead at NVIDIA's Spatial Intelligence Lab, focusing on high-performance 3D deep learning libraries.

The event will be held at the ALLSIDES NYC office, providing a platform for an in-depth, technical exchange among peers, followed by informal discussions. Don't miss the opportunity to connect with experts and advance your understanding of these pivotal challenges in AI!

🔗 Register Now!