Analog-Optic Fusion Computation

An analog optical computer that combines analog electronics, three-dimensional optics, and an iterative architecture accelerates artificial intelligence inference and combinatorial optimization in a single platform, paving a promising path for faster and sustainable computing. To meet this challenge, Microsoft Research has developed the Analog Optical Computer (AOC): the world's first unconventional computing system capable of accelerating real-world AI inference and optimization workloads. Schematic of the analog optical computer. In the foreground is the. Thus, the traditional electronic integrated chips for executing the calculation of ANNs and deep learning algorithms are faced with higher requirements for computation speed and energy consumption. However, due to the unsustainability of Moore's Law and the failure of the Dennard's scaling rules. The present application relates to an optoelectronic fusion reconfigurable analog intelligent computing system and a task learning method therefor. This dual-domain capability is enabled by rapid fixed-point search, which avoids digital. Analog Optical Computing (AOC) is an emerging AI hardware paradigm that uses light instead of electricity to perform computations. [PDF]