[Links of the Day] 27/09/2018: data-centric internet master thesis, Critic of deep learning, Fairer machine learning

• Scalable mobility support in future internet architectures : MIT Master Thesis by Xavier K. Mwangi where he argues for a move away from host centric (IP) toward a data-centric approach where the naming and routing scheme revolves around object name resolution architecture. The argument behind this is to eliminate the tight coupling between location and data and allow a more fluid interaction, especially in an ever increasing mobile world. 
• Deep Learning: A Critical Appraisal : Critical analysis of the recent deep learning revival and argumentation by the authors that deep learning will be soon replaced by other technique as we want to progress toward artificial intelligence.
• Delayed impact of fair machine learning : A paper that tries to answer the central question of fairness of machine learning algorithm. I.e. how to ensure fair treatment across demographic groups in a population when we let a machine learning system decide who gets an opportunity (e.g. is offered a loan) and who doesn’t.