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The Infinite Retina

The Infinite Retina

By : Irena Cronin, Robert Scoble
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The Infinite Retina

The Infinite Retina

By: Irena Cronin, Robert Scoble

Overview of this book

What is Spatial Computing and why is everyone from Tesla, Apple, and Meta investing heavily in it? Irena Cronin and Robert Scoble answer that question to help you understand where Spatial Computing - an augmented reality where humans and machines can interact in a physical space - came from, where it's going, and why it's so fundamentally different from the computers or mobile phones that came before. They present seven visions of the future and the industry verticals in which Spatial Computing has the most influence - Transportation; Technology, Media, and Telecommunications; Manufacturing; Retail; Healthcare; Finance; and Education. The book also shares insights from leading experts, industry veterans and innovators, including Sebastian Thrun, Ken Bretschneider, and Hugo Swart. They dive into what they think will happen in the medium term and what it could mean for humanity in the long term. This new second edition has many substantial updates, including two new chapters on the relevance of Generative AI to Spatial Computing and a new chapter on the impact of the Apple Vision Pro. Each existing chapter has been updated to have the most current information and commentary.
Table of Contents (20 chapters)
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2
Part I: Why Spatial Computing and Why Now?
6
Part II: The Seven Visions
14
Part III: The Spatial Business
19
Other Books You May Enjoy
20
Index

Data Synthesis and Simulation

Data synthesis and simulation through Generative AI in Spatial Computing present significant opportunities for enhancing predictive modeling and decision-making in various fields, particularly in urban planning and environmental studies.

Urban planning requires the consideration of countless variables—from traffic flow and public transportation to zoning and land use. Generative AI can create multi-layered simulations of urban environments that synthesize data from various sources. Planners can input population growth estimates, proposed building plans, traffic data, and other relevant statistics into a Generative AI model, which can then simulate how these factors will interact over time. This process results in a detailed visualization of potential urban development paths, allowing planners to observe the long-term impacts of their decisions. By doing so, they can identify the best strategies for sustainable growth, optimize traffic management...

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