Abstract: Presented herein are embodiments of an improved asymmetric quantization, which may generally be referred to as improved asymmetric quantization (IAQ) embodiments. IAQ embodiments combine the benefits of conventional asymmetric quantization and symmetric quantization but also provide additional computation efficiencies. Embodiments of IAQ adopt an asymmetric range of the weights of a neural network layer, so they circumvent the limitation of symmetric range of symmetric quantization. Moreover, the inference process of a neural network quantized by an IAQ embodiment is much faster than that of the neural network quantized by conventional asymmetric quantization by quantizing an offset value of each layer.

Abstract: Disclosed are a catalyst for preparing hydrocarbons from carbon dioxide by one-step hydrogenation and a method for preparing same. The catalyst includes nano-metal oxides and hierarchical zeolites, where the mass fraction of the nano-metal oxides in the catalyst is 10%-90%, and the mass fraction of the hierarchical zeolites in the catalyst is 10%-90%. The catalyst has excellent catalytic performance, good reaction stability and high selectivity for desired products, and in the hydrocarbons, C2=-C4= reach up to 80%, C5+ reach up to 80%, and aromatics reach up to 65%.

Abstract: Disclosed are a catalyst for preparing hydrocarbons from carbon dioxide by one-step hydrogenation and a method for preparing same. The catalyst includes nano-metal oxides and hierarchical zeolites, where the mass fraction of the nano-metal oxides in the catalyst is 10%-90%, and the mass fraction of the hierarchical zeolites in the catalyst is 10%-90%. The catalyst has excellent catalytic performance, good reaction stability and high selectivity for desired products, and in the hydrocarbons, C2=-C4= reach up to 80%, C5+ reach up to 80%, and aromatics reach up to 65%.