Activity
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Eva Seilitz posted an update a week ago
Hello everyone,
I want to express my gratitude for being part of this exceptional group. I joined to deepen my…
Denise Holt1 Comment -
Laurence Cocco joined the group
Froebel Project 2 weeks ago -
Jon Wood posted an update 2 weeks ago
We are excited about bringing Genius to the world.
Stay tuned for the 37th Roth Conference March 16-18, Gabriel Rene’ is speaking. -
JOHN GRAVES posted an update 3 weeks ago
Groups
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.
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.
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.
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.
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.
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.
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.