Synopsis

In 'Convergence: Generative AI, Robotics, Decentralization, and the Metaverse,' Vikram Singh Sankhala guides AI and robotics engineers, software architects, and product leaders through the transformative landscape where generative AI meets physical embodiment, decentralized intelligence, and immersive virtual worlds. This seminal work delves into the creation of deeply integrated, autonomous systems, exploring how generative AI is revolutionizing robotic learning through natural language and vision prompts, enabling dynamic task adaptation, and fostering human-robot collaboration. Sankhala lays out the foundational architectures for self-organizing, adaptable robots and examines the challenges of scaling autonomy across physical and digital realms, offering a forward-looking perspective on embodied AI. The book further navigates the frontier of decentralized AI and the metaverse, detailing self-sovereign agents, swarm intelligence, and autonomous collectives within peer-to-peer networks. It dissects the principles of the metaverse, showcasing generative AI's role in crafting interactive narratives, lifelike avatars, and digital economies, alongside the real-time adaptation of immersive technologies. By examining the powerful synergies between robotics, decentralization, and immersive environments, Sankhala provides actionable frameworks for designing responsible AI ecosystems and building trustworthy, integrated AI futures that bridge the digital and physical, driving profound real-world and virtual impact.

Convergence: Generative AI, Robotics, Decentralization, and the Metaverse

Vikram Singh Sankhala

English

Convergence: Generative AI, Robotics, Decentralization, and the Metaverse

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