Core Insights - An international research team led by Aalto University in Finland has developed a new method for performing complex tensor operations using single light propagation, marking a significant step towards the development of general artificial intelligence (AI) hardware and providing a novel solution to existing performance bottlenecks in computing platforms [1][2]. Group 1: Methodology and Innovation - The core innovation of this method lies in encoding digital data into the amplitude and phase of light, transforming digital information into physical properties of light fields. This allows for natural completion of matrix and tensor operations when these light fields interact [2]. - The optical computing method integrates multiple functions into a single operation, enabling all checks and sorting to be completed in parallel with one light exposure, akin to a streamlined customs inspection process [2]. Group 2: Advantages and Applications - To enhance computational capacity, the team employed multi-wavelength light, allowing different colors of light to carry data across different dimensions, thus enabling the processing of higher-order tensor operations [2]. - The simplicity of this method is another significant advantage, as all calculations are performed during the passive propagation of light without the need for active control or electronic switches, making it more suitable for low-energy, high-parallel optical platforms [2].