representation

Bret Victor's closing keynote at UIST and SPLASH 2014 argues that our tools for thinking ignore most of human sensory and motor capability. He sketches representations that engage more modalities beyond screens and keyboards.

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

An excerpt of the 2005 Harvard debate in which Steven Pinker gives his prepared case on biological sex differences and the under-representation of women in science. It covers cross-cultural patterns in preferences and abilities and the overlap between male and female distributions.

Bret Victor's 2013 MIT Media Lab talk argues that the media we think with determine which thoughts are possible. He demos new representations for scientific papers, circuits, filters and signal processing.

Swift compiler engineers explain how Swift implements generics using dictionary-passing with reified type metadata. They compare it with Java-style uniform representation and C++ or Rust monomorphization.