PySyft : Python framework for homomorphic encryption for Machine learning. It allows you to train model on encrypted data without the need to decrypt it. It's 40x slower than normal method but you this means you don't have to deal with the new EU regulation on AI.
Applied AI hard problems : current and future AI hard problem, the interesting bit is the "emergent" behavior aspect that computer scientist are trying to achieve. Where AI is not tailored for a specific problem by adapt to the environment it encounter.
Dark silicon & Hardware Reliability : the authors look at the impact of the dark silicon approach ( when not all component are turned on when the system is up) and how to leverage the "dark" ratio to maximise lifespan of hardware. [slides]
TLDK : project lead by Intel within the fd.io framework. It is trying to adresse the lack of high level ( as in layer 4 ) packet processing capabilities. The project aim at delivering UDP/TCP etc.. packet processing on top of vector packet processing of FD.io (which can works on top of DPDK). By doing so Intel will be able to finally have a comprehensive framework which will enable DPDK based solution to flourish beyond the pure networking stack (NFV) solution.
Concurrency kit : Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures for the research, design and implementation of high performance concurrent systems. [github]
