binary visualization

Christopher Domas's REcon 2013 talk on dynamic binary visualization for reverse engineering. He shows how rendering binary data as interactive visual maps and trigraphs reveals structure that hex dumps hide, leading to his Cantor.dust tool.

Christopher Domas presents his Cantor Dust tool at Derbycon 2012, a 3D visual approach to reverse engineering binaries by visualizing their structure dynamically.

Bret Victor's talk on Drawing Dynamic Visualizations. It argues that visualization tools offer either the directness of hand drawing or the dynamics of programmed graphics, and shows a tool that combines both.

Philip Roberts explains the JavaScript event loop, call stack, callbacks and asynchronous behavior with live visualizations using a tool he built. It demystifies terms like non-blocking and single-threaded.

Anna Rosling Rönnlund presents Dollar Street, a project photographing homes in dozens of countries, from stoves to beds to toilets, and sorting them by income. She shows how data visualization can change how we see the world.

A Google Tech Talk by Laurens van der Maaten, co-creator of t-SNE, on visualizing high-dimensional data by mapping it to two dimensions. It explains how the technique works and how it compares with other visualization approaches.

SciPy 2015 talk by Nathaniel Smith and Stefan van der Walt on choosing a new default colormap for Matplotlib. It covers why Jet misleads, how perceptual color spaces work, and how viridis was designed.

Drew Berry shows scientifically accurate animations of molecular processes inside cells, such as DNA replication, at TEDxSydney.

Steven Wittens' JSConf US 2013 talk on drawing with WebGL, using animated visuals to walk through vectors, matrices and the rendering pipeline. Despite the title, it works as a visual primer on the linear algebra behind 3D graphics.

Bret Victor's talk proposing a new kind of maker space built for seeing and understanding a project's behavior: inside it, across time and across possibilities. It argues for scientific understanding over recipes and rules of thumb.

Hans Rosling's TED@Cannes talk uses boxes and animated data graphics to show how world population will grow to about 9 billion. He argues that raising living standards for the poorest is what reduces population growth.

Rusty Russell and Matt Evans examine why Unix utilities like ls and cat grew from a few kilobytes to over a hundred kilobytes. They take apart common tools to see where the growth comes from.

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.

Chris Urmson's SXSW 2016 talk on Google's self-driving car project, covering 1.3 million self-driven miles and the gap between hype and reality. It shows sensor visualizations and playbacks of hard situations the cars met, and discusses failures such as the low-speed bus collision.

A reverse engineer walks through fixing a ten-year-old bug in Guitar Hero III without access to its source code, using a disassembler and decompiler. It is technical but explained step by step.

A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.

Adam Tornhill's GOTO Copenhagen 2019 talk on how to prioritize technical debt in large codebases. It argues for combining code complexity with change frequency (hotspots) from version control data, rather than trying to quantify debt in the abstract.

Gernot Heiser presents seL4, a microkernel with a mathematical proof connecting security properties to the binary code, and explains what its open-sourcing means for users. It covers its roles as a microkernel, separation kernel and hypervisor.

Berkeley neuroscientist Jack Gallant shows how fMRI brain mapping can be used to decode what a person sees, with visualizations of brain activity and its implications.