Niantic, the creator of Pok\u00e9mon Go<\/strong>, is leveraging player data to develop a Large Geospatial Model (LGM)<\/strong>. This model enhances the way machines understand and interact with real-world environments. It has applications in augmented reality (AR) glasses<\/strong>, robotics<\/strong>, and autonomous systems<\/strong>, offering exciting advancements in technology. However, with this innovation comes significant discussions about privacy<\/strong> and data security<\/strong>.<\/p>\n Similar to Large Language Models (LLMs)<\/strong> that process human text, Niantic’s LGM<\/strong> is designed to interpret spatial data. This model relies on user-generated location scans<\/strong>, visual positioning data<\/strong>, and geospatial mapping<\/strong> to create a highly detailed digital twin of the real world.<\/p>\n With Niantic’s AR-based applications<\/strong>, users actively contribute by scanning real-world locations. The data collected<\/strong> includes 3D environment scans<\/strong>, which help power Niantic’s Visual Positioning System (VPS)<\/strong>. This system enables accurate object placement and enhances AR experiences<\/strong> across games and beyond.<\/p>\n For professionals interested in how AI is revolutionizing industries, exploring our Artificial Intelligence and Machine Learning course<\/strong><\/a> can be a great first step.<\/p>\n Niantic has assured users that its data collection<\/strong> process is designed with privacy in mind<\/strong>. The AR scanning feature<\/strong> requires active participation<\/strong>, meaning players must opt in by voluntarily scanning physical locations. Passive data collection does not contribute to training the model.<\/p>\n Niantic’s Visual Positioning System (VPS)<\/strong> is built from this voluntarily scanned data. The VPS enhances AR by accurately placing digital objects<\/strong> in the real world. If you’re intrigued by cloud-based computing and security, check out our AWS Cloud Practitioner course<\/strong><\/a>, which covers the fundamentals of cloud storage and data security.<\/p>\n The Large Geospatial Model<\/strong> is set to revolutionize industries beyond AR gaming<\/strong>. Some of its key applications include:<\/p>\n For those considering a future in AI-driven automation, our AI and Machine Learning Pathway<\/strong><\/a> provides an excellent foundation.<\/p>\n Despite Niantic’s claim of strict privacy safeguards<\/strong>, concerns remain regarding the scope of data collection<\/strong>:<\/p>\n For those looking to understand more about cybersecurity, our CompTIA Security+ certification<\/strong><\/a> covers key topics in data protection<\/strong> and privacy laws<\/strong>.<\/p>\n Niantic’s advancements set a new standard for AI-driven spatial computing<\/strong>. However, the company must prioritise transparency<\/strong>, data security<\/strong>, and ethical AI development<\/strong>.<\/p>\n To ensure safe data practices<\/strong>, individuals should:<\/p>\n If you’re interested in how AI ethics<\/strong> shape the tech industry, our Certified Ethical Hacker (CEH) course<\/strong><\/a> is a great place to start.<\/p>\n Niantic’s Large Geospatial Model<\/strong> is redefining how AI interacts with the real world<\/strong>. From AR gaming<\/strong> to robotics<\/strong> and autonomous navigation<\/strong>, the potential is vast. However, as we embrace these innovations, we must also address privacy concerns and ensure that data usage remains ethical and transparent<\/strong>.<\/p>\n For those looking to break into AI, cybersecurity, or cloud computing<\/strong>, we recommend exploring:<\/p>\n With the right skills, you can leverage AI advancements<\/strong> while protecting data privacy<\/strong> in the digital age.<\/p>\n","protected":false},"excerpt":{"rendered":" Introduction to Niantic’s Large Geospatial Model Niantic, the creator of Pok\u00e9mon Go, is leveraging player data to develop a Large Geospatial Model (LGM). This model enhances the way machines understand and interact with real-world environments. It has applications in augmented reality (AR) glasses, robotics, and autonomous systems, offering exciting advancements … <\/p>\nWhat is the Large Geospatial Model?<\/h3>\n
How Niantic Collects and Uses Player Data<\/h2>\n
Applications of Niantic’s LGM Beyond Gaming<\/h2>\n
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Privacy Concerns: How Safe is Your Data?<\/h2>\n
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Balancing Innovation with Ethical Data Usage<\/h2>\n
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Conclusion<\/h2>\n
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