Optical Neural Networks: Advantages and Obstacles in AI Energy Efficiency

Optical Neural Networks: Advantages and Obstacles

In the realm of AI energy efficiency, researchers are turning to light-based chips for potential solutions. These chips operate on photons rather than electrons, offering distinct advantages in power consumption and speed.

Major Obstacles and Challenges

Despite their promise, light-based chips encounter significant obstacles that hinder their widespread adoption. Overcoming these challenges is crucial for advancing the technology.

Conclusion: The development of light-based chips provides a promising avenue for enhancing AI energy efficiency, but substantial hurdles must be addressed to unlock their full potential.