Toward learned algorithms, data structures, and systems - Tim Kraska (MIT)
All systems and applications are composed from basic data structures and algorithms, such as index structures, priority queues, and sorting algorithms. Most of these primitives have been around since the early beginnings of computer science (CS) and form the basis of every CS intro lecture. Yet, we might soon face an inflection point: recent results show that machine learning has the potential to significantly alter the way those primitives are implemented and the performance they can provide.
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