AI – The Maker vs. The Operator – Comparing LLM vs. Active Inference AI
The article discusses VERSES AI, which transcends traditional machine learning by utilizing Active Inference AI. This innovative approach is based on …
Category: Resources
String Diagrams with Factorized Densities
The work by Eli Sennesh and Jan-Willem van de Meent explores probabilistic programs and causal models, emphasizing compositionally reasoning about mod…
FMCW Radar Sensing for Indoor Drones Using Variational Auto-Encoders
This paper explores using variational auto-encoders to learn low-dimensional representations from FMCW radar data for indoor drone navigation. It intr…
The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
This research explores a computational model of consciousness, focusing on associative memory in the hippocampus. It critiques traditional hierarchica…
Recurrent predictive coding models for associative memory employing covariance learning
This paper discusses a new computational model for associative memory that integrates recurrent connections, which are crucial for the hippocampus's f…
Active Inference: Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
The volume contains 25 revised papers from the 3rd International Workshop on Active Inference, held in Grenoble, France, on September 19, 2022, alongs…
Object-Centric Scene Representations using Active Inference
The paper discusses Bayesian mechanics, a probabilistic approach to modeling systems with partitioned states. It reviews literature on the free energy…
On Bayesian Mechanics: A Physics of and by Beliefs
This paper introduces Bayesian mechanics, a field modeling systems with specific partitions that encode beliefs about external states. It reviews appl…
The Spatial Web and the Era of AI - Part 2 – Who is Karl Friston?
DENISE HOLT discusses the Spatial Web and Active Inference AI in her blog. She highlights the work of Chief Scientist Karl Friston and VERSES AI, who …
FMCW Radar Sensing for Indoor Drones Using Learned Representations
The paper explores the use of FMCW radar technology for indoor drones, highlighting its ability to provide detailed obstacle information. It discusses…