The emerging topic of privacy-preserving deep learning as a service has attracted increasing attention in recent years, which focuses on building an efficient and practical neural network prediction framework to secure client and model-holder data privately on the cloud.In such a task, the time cost of performing the secure linear layers is expensi
Transmission expansion planning is a complex problem that deals with the selection of new transmission lines that guarantee meeting future demand/generation and technical limits with the minimal investment cost.The transmission expansion planning problem has been solved through approaches and techniques aimed at reducing the computational effort re
The regions with lots of shoe production suffer environmental impacts from waste generation during manufacturing of insoles and outsoles.Research conducted in Brazil has demonstrated the technical feasibility to recycle these wastes, especially 7gm pravana Ethylene Vinyl Acetate (EVA), as lightweight aggregate, in the production of non-structural c
Mutations in the phosphatase PTEN are strongly implicated in autism spectrum disorder (ASD).Here, we investigate the function of Pten in cortical GABAergic neurons using conditional mutagenesis in mice.Loss of Pten results in a preferential loss of SST+ interneurons, which increases the ratio of parvalbumin/somatostatin (PV/SST) interneurons, ectop
Deep learning based on neural networks has been widely used in image recognition, speech recognition, natural language processing, automatic driving, and other fields and has made breakthrough progress.FPGA stands out in the field of accelerated deep learning with its advantages such as flexible architecture and logic units, high energy efficiency