Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence

The everlasting pursuit for a more powerful artificial general intelligence (AGI) continuously demands for higher computing performance. Breaking the restrictions from the Moore’s Law, integrated photonic neural networks have shown great potential in terms of superior processing speed and high energy-efficiency. However, the capacity and scalability are restricted by the unavoidable and time-varying on-chip errors that only simple tasks and shallow models (e.g., 10-category digits classification with thousand-parameter-level networks) can be on-chip realized optically. To support modern AGIs with optical computing, we innovate Taichi, large-scale photonic chiplets owning millions-of-neuron on-chip computing capability with 160 TOPS/W energy efficiency. For the first time, Taichi experimentally realized on-chip optical neural networks (ONNs) with over 13.96M neurons for thousand-category-level classification (tested 91.89% of accuracy for 1623-category Omniglot dataset) and high-fidelity..., The preprocessed dataset that modified from the original ones. We resized/cropped the dimension of the images and re-origanized the training-testing splitting in the original datasets, to fit the data requirements by our optical computing hardware Taichi chiplets., , # Data from: Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence

[https://doi.org/10.5061/dryad.m63xsj497](https://doi.org/10.5061/dryad.m63xsj497)

Including the following datasets:

**Dataset 1:** CIFAR-10 dataset with image size 80 by 80 pixels.

**Dataset 2:** Mini ImageNet dataset for 100 category classification. We chose 100 categories from the original total of 1000 categories in the ILSVRC2012 ImageNet dataset. All the images in this modified dataset are in a resolution of 64 by 64 pixels. The category ID of the selected 100 categories are: 22, 29, 30, 33, 42, 48, 54, 72, 94, 101, 104, 119, 125, 135, 147, 148, 163, 168, 175, 194, 197, 206, 242, 245, 246, 247, 258, 273, 281, 291, 302, 309, 318, 323, 333, 334, 338, 363, 367, 371, 382, 397, 425, 431, 434, 445, 461, 463, 466, 477, 491, 492, 499, 501, 506, 527, 536, 557, 561, 570, 579, 585, 593, 608, 612, 617, 621, 629, 631, 648, 690, 697, 732, 733, 741, 748, 759, 766, 768, 788, 789, 791, 799, 816...