Resources – Page 5 – Learning Lab Central by E-mmersion Publishing

“Deep Learning is Rubbish” Karl Friston & Yann LeCun Face Off at Davos 2024 World Economic Forum

In a panel hosted by the Financial Times at the World Economic Forum in Davos, Switzerland, two of the biggest names in artificial intelligence —�…

Denise Holt January 29, 2024

Active Inference as a Model of Agency

The paper discusses active inference as a model of agency beyond mere reward maximization. It combines exploration and exploitation while minimizing r…

Denise Holt January 23, 2024

Hello 2024 — The Year Computing Changes Forever

Computing is changing on every basic and fundamental level. Generative AI is one piece of that computing puzzle. It’s a massive tool in this next er…

Denise Holt January 1, 2024

Turning Point in AI - Leaders Rally for a Natural AI Initiative

A pivotal roundtable discussion held by the Boston Global Forum, the Active Inference Institute, and the Neuropsychiatry and Society Program on Decemb…

Denise Holt December 29, 2023

Shared Protentions in Multi-Agent Active Inference

The paper integrates Husserlian phenomenology, active inference in theoretical biology, and category theory to create a framework for understanding so…

Denise Holt December 22, 2023

VERSES AI Announces AGI Breakthrough: Invokes Open AI’s ‘Assist’ Clause

In an unprecedented move by VERSES AI, today's announcement of a breakthrough revealing a new path to AGI based on 'natural' rather than 'artificial' …

Denise Holt December 20, 2023

Active Inference and Intentional Behaviour

This paper explores how spontaneous learning in neuronal networks and cell cultures exemplifies emergent cognition and behavior. By employing the free…

Denise Holt December 16, 2023

Supervised structure learning

The paper explores supervised structure learning of discrete generative models by focusing on Bayesian model selection and data ingestion order. It em…

Denise Holt November 17, 2023

Unlocking the Future of AI: Active Inference vs. LLMs

Denise Holt's article explores the current landscape of AI, questioning whether society is approaching genuine intelligence or simply enhancing advanc…

Denise Holt November 16, 2023

Generating meaning: active inference and the scope and limits of passive AI

The article explores the differences between generative models in living organisms and passive generative AI. It argues that while AI learns from data…

Denise Holt November 14, 2023