presentations

Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.

Doug Zongker's deadpan conference presentation of his famously chicken-filled paper, given at the 2007 AAAS humor session. It satirizes academic talks while showing the pitfalls of bad presentation.

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.

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.

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.

A TEDxNashville talk by uBeam founder Meredith Perry about becoming a technology innovator and her plan for wireless charging of phones.