Activity

$320
2 Course Files

Course 1 – Intro to Active Inference AI and Spatial Web Technologies: Master the Basics

Offers a foundational understanding of the future of AI, focusing on shared, distributed, and multi-scale intelligence through Active Inference and the Spatial Web.

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$320
2 Course Files

Course 2 – Our Evolving Internet Protocol: HSTP and HSML

Explores the evolution of internet protocols with a focus on the Spatial Web, introducing students to the core technologies and socio-technical standards like HSTP and HSML that enable secure, decentralized, and context-aware interactions across physical and digital spaces.

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$320
2 Course Files

Course 3 – Active Inference and the Free Energy Principle: Advanced Knowledge

Covers advanced principles of Active Inference and the Free Energy Principle, focusing on how intelligent agents form and update beliefs, transform uncertainty into confidence, and create symbiotic intelligence through shared understanding.

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$320
2 Course Files

Course 4 – Decentralized AI: The Next Wave of AI Innovation

Introduces decentralized AI and First Principles AI, guiding students through key innovations, protocols, and intelligent agent distribution, with a focus on the emerging role of HSTP, HSML, and intelligent applications.

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$320
2 Course Files

Course 5 – What is SAFE AI?: Benefits of Active Inference AI

Presents a framework for building secure, accountable, fair, and explainable AI, showing how Active Inference AI models can address the limitations of traditional AI by enhancing adaptability, transparency, and ethical decision-making.

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$320
2 Course Files

Course 6 – The Convergence of All Tech Across the Spatial Web

Explores the convergence of all major technologies within the Spatial Web, examining how AI, IoT, blockchain, robotics, and immersive technologies unite to create interconnected, intelligent ecosystems that operate seamlessly across digital and physical spaces.

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$320
2 Course Files

Course 7 – Beyond Deep Learning Gen AI with RGMs through Active Inference

Introduces students to Renormalizing Generative Models (RGMs), a breakthrough in Active Inference AI that goes beyond the capabilities of deep learning, offering a scalable, adaptive, and efficient framework for AI tasks in perception, planning, and real-time decision-making.

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