Key insights

• 💡 Introduction to the reality editor and its evolution with PTC
• 🏭 The focus of PTC on spatial computing for industrial applications
• 🌐 Development of a platform for spatial computing
• 📊 Showcasing demos of industrial spatial programming, multitasking, reality capture, analytics, and spatial AI
• 🔧 Discussion of the enabling platform for spatial computing
• 📱 Spatial computing system persists even after putting the phone away
• 🖥️ Utilizes different mediums (AR, 2D screens) for various tasks
• 🔬 Collaboration with MIT Media Lab to create a real-time spatial digital twin for biomechatronics research

Q&A

• How has the platform for spatial computing iteratively developed?

  The speaker discusses the iterative development of a platform for spatial computing, including the addition of new features and capabilities to support various use cases. The platform aims to handle world-centric and human-centric perspectives and is built on web standards. It also supports wider variety of spatial computing operations and is used in both industrial and non-industrial contexts.

• What are the features of the 3D application discussed by the speaker?

  The 3D application includes an embedded library for rendering scenes, AI-powered features for improving scan quality and enabling remote design reviews, integration of chatbots with the system, and the use of GPT model for data analysis. The development aims to create an 'operating system for space' to support various demos and capabilities.

• How has the evolution of spatial computing impacted diverse applications?

  The evolution of spatial computing has led to the development of accessible reality capture technology using smartphones for virtual collaboration and diverse applications, including ergonomic studies, geological and topographic analysis, tracking space changes over time, and supporting a growing set of spatial applications.

• What does spatial computing encompass?

  Spatial computing encompasses 3D virtual worlds, user interfaces, world-centric perspective, spatial motion analytics, reality capture, spatial AI, and collaborative virtual environments. The Reality Lab developed a platform for spatial applications and open-sourced the Vioria Spatial Toolbox. They also collaborated with MIT Media Lab to create a real-time spatial digital twin for biomechatronics research.

• What are the key features of the spatial computing system?

  The spatial computing system allows for the persistence of AR experiences, utilizes different mediums (AR, 2D screens) for the best tool for the job, introduces spatial envelopes for multitasking in AR, and features an open web-based ecosystem for third-party developers. It persists even after putting the phone away, utilizes different mediums for various tasks, introduces spatial envelopes for multitasking in AR, and provides an open web-based ecosystem for third-party developers.

• What is the focus of PTC on spatial computing for industrial applications?

  The focus of PTC is on spatial computing for industrial applications, which led to the development of a platform for spatial computing and the showcasing of demos during the talk.

• What is the reality editor and its evolution with PTC?

  Valentine and Ben worked on the reality editor, which caught the attention of PTC. They focused on spatial computing for industrial applications and built a platform for spatial computing, showcasing demos during the talk.

• 00:00 Valentine and Ben worked on the reality editor, which caught the attention of PTC. They focused on spatial computing for industrial applications and built a platform for spatial computing, showcasing demos during the talk.
• 04:26 Spatial computing system allows for persistence of AR experiences, utilizes different mediums (AR, 2D screens) for the best tool for the job, introduces spatial envelopes for multitasking in AR, and features an open web-based ecosystem for third-party developers.
• 09:18 Spatial Computing encompasses 3D virtual worlds, user interfaces, world-centric perspective, spatial motion analytics, reality capture, spatial AI, and collaborative virtual environments. The Reality Lab developed a platform for spatial applications and open-sourced the Vioria Spatial Toolbox. They also collaborated with MIT Media Lab to create a real-time spatial digital twin for biomechatronics research.
• 14:14 The speaker demonstrates the evolution of spatial computing, focusing on the development of an accessible reality capture technology using smartphones for virtual collaboration and diverse applications, including ergonomic studies, geological and topographic analysis, tracking space changes over time, and supporting a growing set of spatial applications.
• 19:37 The speaker discusses the 3D application with embedded library, AI-powered features, chatbot integration, GPT model, and the development of an 'operating system for space.'
• 24:28 The speaker discusses the iterative development of a platform for spatial computing, including the addition of new features and capabilities to support various use cases. The platform aims to handle world-centric and human-centric perspectives and is built on web standards.