Researchers have developed a new architecture for optical computing called diffraction casting, offering power-efficient processing by using light waves.
This method promises better integration and flexibility for high-performance computing tasks and could be used in fields like AI and machine learning.
As artificial intelligence and other complex applications demand ever more powerful and energy-intensive computers, optical computing emerges as a promising solution to enhance speed and power efficiency. However, its practical application has faced numerous challenges. A novel design architecture known as diffraction casting aims to overcome these issues, introducing innovative concepts that could advance the adoption of optical computing in future technologies.
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