Education & Research Portal – Blob IQ

Bridging Gaming, Research, and Learning

Blob IQ is a real-time neural experimentation platform positioned at the intersection of three fields: video game technology, applied artificial intelligence, and scientific education.

Each entity (Blob) contains a dynamic neural network capable of perceiving, learning, dreaming, and evolving over generations. Designed as a living simulation, Blob IQ opens new frontiers for exploring artificial cognition in visual, interactive, and modular environments.

Why use Blob IQ in education?

  • Let students observe a neural network learning in real time

  • Make complex concepts tangible: LSTM, backpropagation, NEAT

  • Go beyond theory by manipulating a living, evolving system

  • Introduce ethics, neuroevolution, and architecture of synthetic intelligences

Educational & Scientific Objectives

  • Teach how a real neural network works inside a 3D engine

  • Demonstrate perception, supervised learning, LSTM memory, and gradient descent

  • Provide an interactive playground for labs, workshops, and experimental AI modules

  • Analyze behavioral evolution through controlled neuroevolution and mutation

Scientific Foundations of the Neural Engine

  • Multilayer adaptive neural network with LSTM

  • Supervised and reinforcement learning mechanisms

  • NEAT-inspired architecture for evolving topologies

  • Memory consolidation via Experience Replay

  • Neural dreaming through dream replay simulation

Every Blob decision stems from autonomous neural computation, with no pre-scripted logic or behavior trees.

Technical Architecture

  • Engine: Unity 6 + C# / Burst Compiler / DOTS

  • Neural design: multilayer + LSTM (random init + evolutionary mutation)

  • Full parallelization of AI modules: prediction, feedback, learning loop

  • Exposed data: activations, gradients, weights, training history

Use Cases in Educational Settings

  • Track behavioral evolution of a Blob over multiple generations

  • Observe the impact of supervised learning on task performance

  • Compare topologies and analyze decision-making strategies

  • Dynamically modify mutation rates, rewards, or energy costs

  • Design a mini experimental protocol around a behavioral goal

Included Resources:

  • Downloadable scientific brief (.PDF)

  • Access to neural logs & saved weights

  • Built-in neural network visualizer (structure + live activations)

Key Scientific References

Academic Partnerships & Integration

Are you looking to:

  • Integrate Blob IQ into a university course or research program?

  • Use it as a scientific outreach tool in conferences or exhibitions?

  • Run an experimental study or demonstrate learning systems in action?

📩 Contact us directly via dfgamesstudio.com/en/blob-iq or the YouTube channel @FormationUE5Unity for personalized support.

Blob IQ is a platform built for exploration, pedagogy, and cognitive innovation.

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