Neuro AI
  • Introduction
    • Low computational power
    • Data transfer bottlenecks
    • Limited scalability
  • Neuromorphic Computing
  • Principles of Neuromorphic Computing
  • Integrating Neuromorphic Computing with Artificial Intelligence
    • Spiking Neural Networks (SNN)
    • Advanced Algorithms
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Introduction

Artificial intelligence is a transformative branch of computer science that focuses on creating systems capable of performing tasks that typically require human intelligence, encompassing abilities such as learning, reasoning, problem-solving, perception, and language understanding.

Although the sector has witnessed significant growth since its inception, its development faces multiple challenges, such as:

  • Computational power limitations,

  • Data transfer bottlenecks in von Neumann architecture,

  • Scalability issues.

Neuromorphic computing mitigates these issues.

This whitepaper discusses neuromorphic computing, how its principles can be integrated into artificial intelligence, and introduces the Neuro AI - an artificial intelligence system that utilizes neuromorphic computing.

NextLow computational power

Last updated 5 months ago