Convolution neural networks, Part 3

Today we're looking at the final four papers from the 'convolutional neural networks' section of the 'top 100 awesome deep learning papers' list. Deep residual learning for image recognition, He et al., 2016 Identity mappings in deep residual networks, He et al., 2016 Inception-v4, inception-resnet and the impact of residual connections or learning, Szegedy et … Continue reading Convolution neural networks, Part 3

Omid reloaded: scalable and highly-available transaction processing

Omid, reloaded: scalable and highly-available transaction processing Shacham et al., FAST '17 Omid is a transaction processing service powering web-scale production systems at Yahoo that digest billions of events per day and push them into a real-time index. It's also been open-sourced and is currently incubating at Apache as the Apache Omid project. What's interesting … Continue reading Omid reloaded: scalable and highly-available transaction processing

Panoply: Low-TCB Linux applications with SGX enclaves

Panoply: Low-TCB Linux applications with SGX enclaves Shinde et al., NDSS, 2017 Intel's Software Guard Extensions (SGX) supports a kind of reverse sandbox. With the normal sandbox model you're probably used to, we download untrusted code and run it in a trusted environment that we control. SGX supports running trusted code that you wrote, but … Continue reading Panoply: Low-TCB Linux applications with SGX enclaves