This innovation means artificial intelligence (AI) could become much faster and more efficient.
Scientists Use Light Waves to Speed Up AI Computing
The Power of Light in AI Computing
Scientists have created a new way to perform complex tensor operations using light waves. Unlike traditional computers that handle tasks step by step, light can do many calculations all at once. This innovation means artificial intelligence (AI) could become much faster and more efficient. The power of light in computing is revolutionizing these processes, and the significant role of light in AI computing cannot be overstated.
Tensors are advanced mathematical objects used in AI tasks like image recognition and language understanding. Current devices such as GPUs can struggle with large amounts of data, limiting speed and energy efficiency. However, by encoding digital information into the amplitude and phase of light waves, researchers can process these tasks simultaneously. This process is central to light in computing advancements.
How Optical Tensor Computing Works
The team led by Dr. Yufeng Zhang from Aalto University uses structured light fields to carry out matrix multiplications instantly. These light fields interact naturally as they travel, performing multiple calculations in one pass. This revolutionary method demonstrates the potential of using light within AI computing, unlike traditional electronic circuits, which require multiple steps.
Light in AI Computing: The Role of Multiple Wavelengths
Researchers improved their system by using several wavelengths together. This allows support for higher-order tensor operations needed for advanced AI models. Light in AI computing acts like a multitasking machine that processes and sorts all inputs simultaneously, showing how effective Artificial intelligence computing with light can be.
Light in AI Computing: Advantages and Future Applications
No Active Electronics Needed During Computation
This optical computing method works passively—light does the work without extra controls or switches. Because of this simplicity, it consumes very little power and produces less heat compared to electronic processors, emphasizing the energy efficiency of AI computing through light.
Integration into Photonic Chips Ahead
Aalto University’s Prof. Zhipei Sun aims to integrate this technology directly onto photonic chips. These chips could one day replace or supplement current computer processors for Artificial intelligence tasks, making devices faster and greener, ultimately advancing AI computing powered by light.
Additionally, to stay updated with the latest developments in STEM research, visit ENTECH Online. Basically, this is our digital magazine for science, technology, engineering, and mathematics. Further, at ENTECH Online, you’ll find a wealth of information.
Reference:
Zhang, Y., Liu, X., Yang, C., Xiang, J., Yan, H., Fu, T., Wang, K., Su, Y., Sun, Z., & Guo, X. (2025). Direct tensor processing with coherent light. Nature Photonics. https://doi.org/10.1038/s41566-025-01799-7
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I’m a web developer and science writer with a Master’s degree in Computer Applications (MCA) from Pune University.
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