- The Case for Learned Index Structures : as we performance progression for single code cpu slow down ( not to mention spectre and meltdown slowing down existing one). Application moves to a distributed model to scale. As a result databases and distributed systems are forced to become more data-aware to achieve efficiency and performance. This is a very nice paper that demonstrates that data structures often contain components that are learnable and machine learning system can help optimise those data structures.
- Evidence of Herding and Stubbornness in Jury Deliberations : human do not rely on logic for important decision and try to coherence fellow human to fit its opinion... While this is widely know, we now have a good hint that this even happens in the judicial system of trial by jury. That or too many people saw twelve angry men.
- Overconfidence Is Universal? : interesting paper trying to understand how to identify overconfidence and if this behaviour is more predominant in a certain type of population or gender.
