On inductive inference as a fundamental feature of Intelligence, and how it can be mathematically formalized for the purpose of creating machines that reason about the universe as humans do.

Reinforcement Learning (RL) is a concept from Psychology that can be implemented in Machines to form intelligent decision-making.

House of Stairs, M. C. Escher


Diving into the most notorious open question in computer science and its far-reaching philosophical consequences.

William Blake’s Newton (1795)

Using Akka and the Actor Model to create a distributed power plant

Photo by NASA on Unsplash


About Event-sourcing and how to combine it with CQRS to achieve Domain-driven design

Photo by Anthony Reungère on Unsplash


Applying Event-Sourcing, CQRS, and Domain-Driven Design with NestJS

Photo by Franck V. on Unsplash


Using MQTT and GraphQL to achieve sustainable IoT applications

Photo by Jason Blackeye on Unsplash

Eliran Natan

Writes about artificial intelligence and the nature of the mind https://enatan.blog/

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