ieee 754

John Gustafson presents posits, a proposed drop-in replacement for IEEE 754 floats that is simpler in hardware and more flexible in precision. The seminar includes a live demo and machine learning results.

A 95-minute recorded debate at the ARITH23 computer arithmetic conference between John Gustafson, proponent of unums/posits, and William Kahan, architect of IEEE 754 floating point. They argue the merits of the new number formats versus conventional floats and interval arithmetic.

Tom Murphy (suckerpinch) presents a deliberately trollish computer architecture built on IEEE-754 floating point, using NaN and infinity to define logic gates. He builds working hardware around the idea.

A walkthrough of the Quake III fast inverse square root, explaining where the constant 0x5f3759df comes from. It covers IEEE 754 floats, the bit hack that approximates a logarithm, and a Newton's method refinement.

Tom Scott explains for Computerphile how floating point numbers work, why moving the binary point is fast, and why it handles money badly.

Tom 7 (suckerpinch) delivers a long, comedic digression on gradient descent and floating-point imprecision. He shows how rounding behavior can supply the nonlinearity needed to build a neural network.

IEEE Spectrum interviews Samsung display researcher Johan Feenstra on how electrowetting displays work. He explains why they can match LCD capability while being about three times more efficient.

An IEEE Spectrum compilation of humanoid robots falling over during the 2015 DARPA Robotics Challenge Finals.

A short IEEE Spectrum clip of Stanford's autonomous car Junior learning to powerslide into a parking spot. It shows several approaches to the maneuver.

A 1080p widescreen capture of the Deus Ex conversation between JC Denton and the AI Morpheus. It is a philosophical exchange that includes surveillance as a replacement for God.

Part 2 of the IROS 2011 keynote by Sebastian Thrun and Chris Urmson on Google's self-driving car. It shows how the car perceives its surroundings with a lidar point cloud and recognizes traffic lights and pedestrians. The audio is poor because it was recorded on a pocket camcorder.