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Special Guest: Professor Bert De Vries | Active Inference & First Principles AI
Explore the fascinating world of Active Inference AI and the
Free Energy Principle developed by Dr. Karl Friston in this episode of the Spatial Web AI Podcast, as host, Denise Holt, welcomes Dr. Bert De Vries, Professor at Eindhoven University of Technology. #ActiveInference Discover how the Active Inference approach to AI
follows the principle of least action and describes how information processing occurs in biological systems like the brain. The brain builds a model of the world to predict sensory inputs and uses Bayesian inference to update its beliefs. Dr. De Vries highlights that this approach creates adaptable and efficient AI systems, with applications ranging from healthcare to robotics.
Learn about how this form of AI works in the brain for efficient information processing, applications in robotics, engineering and medicine, advantages over deep learning models, and why active inference is poised to be the next big wave of AI.
Chapters: 0:00 - Introduction
1:55 – Understanding First Principles AI
8:31 – The Impact of First Principles on Personal Experiences
18:17- Active Inference and its Applications
25:13 - Advantages over deep learning
26:31 – Building a Toolbox for Active Inference
34:36 - Energy efficiency of Active Inference and
the Free Energy Principle
44:33 – Distributed Intelligent Agents
48:41 - Why active inference is next wave of AI
53:33 - Advice for students
58:02 - Wrap-up
Special thank you to Dr. Bert De Vries for being
on our show!
Connect with him:
Website: http://biaslab.org
RXinfer Toolbox: http://rxinfer.ml
Company: http://lazydynamics.com
You can also learn more on my blog: https://deniseholt.us
Explore the future of AI with Active Inference and gain insights into this revolutionary approach! Subscribe to our channel for more ground breaking content.
#ActiveInferenceAI #FirstPrinciplesAI #FreeEnergyPrinciple #FutureofAI #KarlFriston #VERSES
View all episodes
By Denise HoltExplore the fascinating world of Active Inference AI and the
Free Energy Principle developed by Dr. Karl Friston in this episode of the Spatial Web AI Podcast, as host, Denise Holt, welcomes Dr. Bert De Vries, Professor at Eindhoven University of Technology. #ActiveInference Discover how the Active Inference approach to AI
follows the principle of least action and describes how information processing occurs in biological systems like the brain. The brain builds a model of the world to predict sensory inputs and uses Bayesian inference to update its beliefs. Dr. De Vries highlights that this approach creates adaptable and efficient AI systems, with applications ranging from healthcare to robotics.
Learn about how this form of AI works in the brain for efficient information processing, applications in robotics, engineering and medicine, advantages over deep learning models, and why active inference is poised to be the next big wave of AI.
Chapters: 0:00 - Introduction
1:55 – Understanding First Principles AI
8:31 – The Impact of First Principles on Personal Experiences
18:17- Active Inference and its Applications
25:13 - Advantages over deep learning
26:31 – Building a Toolbox for Active Inference
34:36 - Energy efficiency of Active Inference and
the Free Energy Principle
44:33 – Distributed Intelligent Agents
48:41 - Why active inference is next wave of AI
53:33 - Advice for students
58:02 - Wrap-up
Special thank you to Dr. Bert De Vries for being
on our show!
Connect with him:
Website: http://biaslab.org
RXinfer Toolbox: http://rxinfer.ml
Company: http://lazydynamics.com
You can also learn more on my blog: https://deniseholt.us
Explore the future of AI with Active Inference and gain insights into this revolutionary approach! Subscribe to our channel for more ground breaking content.
#ActiveInferenceAI #FirstPrinciplesAI #FreeEnergyPrinciple #FutureofAI #KarlFriston #VERSES