[Links of the Day] 31/10/2017 : Machine learning at the edge, Deep Learning on Hardware , operations based CRDT

• EdgeML : Microsoft research demonstrate how to push machine learning at the edge and run KB models. We could quickly see machine learning enabled IoT device popping around us.  [slides] [github]
• Efficient Methods and Hardware for Deep Learning : Quest for speed never stop, and often that means getting read of those pesky indirection layers that make your software architecture so flexible :) 
• Pure Operation-Based Replicated Data Types : CRDT for operations rather than just value. But the core concepts are a little bit tricky and there is some potential pitfall in the approach. Such as the performance limitation and the reliance on causal stability ( which is really hard to obtain in pure decentralised systems)