- Exploiting a Bug in Google Glass — unbelievably detailed and yet easy-to-follow explanation of how the bug works, how the author found it, and how you can exploit it too. The second guide was slightly more technical, so when he returned a little later I asked him about the Debug Mode option. The reaction was interesting: he kind of looked at me, somewhat confused, and asked “wait, what version of the software does it report in Settings”? When I told him “XE4″ he clarified “XE4, not XE3″, which I verified. He had thought this feature had been removed from the production units.
- Probability Through Problems — motivating problems to hook students on probability questions, structured to cover high-school probability material.
- Connbox — love the section “The importance of legible products” where the physical UI interacts seamless with the digital device … it’s glorious. Three amazing videos.
- The Index-Based Subgraph Matching Algorithm (ISMA): Fast Subgraph Enumeration in Large Networks Using Optimized Search Trees (PLoSONE) — The central question in all these fields is to understand behavior at the level of the whole system from the topology of interactions between its individual constituents. In this respect, the existence of network motifs, small subgraph patterns which occur more often in a network than expected by chance, has turned out to be one of the defining properties of real-world complex networks, in particular biological networks. [...] An implementation of ISMA in Java is freely available.
ENTRIES TAGGED "graph"
Exploiting Glass, Teaching Probability, Product Design, and Subgraph Matching
Titan Improved, Security Tweeps, Probabilistic Programming, and 3D-Printable Optics
- Titan 0.3 Out — graph database now has full-text, geo, and numeric-range index backends.
- Mozilla Security Community Do a Reddit AMA — if you wanted a list of sharp web security people to follow on Twitter, you could do a lot worse than this.
- Probabilistic Programming and Bayesian Methods for Hackers (Github) — An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python. See also Why Probabilistic Programming Matters and Trends to Watch: Logic and Probabilistic Programming. (via Mike Loukides and Renee DiRestra)
- Open Source 3D-Printable Optics Equipment (PLOSone) — This study demonstrates an open-source optical library, which significantly reduces the costs associated with much optical equipment, while also enabling relatively easily adapted customizable designs. The cost reductions in general are over 97%, with some components representing only 1% of the current commercial investment for optical products of similar function. The results of this study make its clear that this method of scientific hardware development enables a much broader audience to participate in optical experimentation both as research and teaching platforms than previous proprietary methods.
Island Traps, Apolitical Technology, 3D Printing Patent Suits, and Disk-Based Graph Tool
- Trap Island — island on most maps doesn’t exist.
- Why I Work on Non-Partisan Tech (MySociety) — excellent essay. Obama won using big technology, but imagine if that effort, money, and technique were used to make things that were useful to the country. Political technology is not gov2.0.
- 3D Printing Patent Suits (MSNBC) — notable not just for incumbents keeping out low-cost competitors with patents, but also (as BoingBoing observed) Many of the key patents in 3D printing start expiring in 2013, and will continue to lapse through ’14 and ’15. Expect a big bang of 3D printer innovation, and massive price-drops, in the years to come. (via BoingBoing)
- GraphChi — can run very large graph computations on just a single machine, by using a novel algorithm for processing the graph from disk (SSD or hard drive). Programs for GraphChi are written in the vertex-centric model, proposed by GraphLab and Google’s Pregel. GraphChi runs vertex-centric programs asynchronously (i.e changes written to edges are immediately visible to subsequent computation), and in parallel. GraphChi also supports streaming graph updates and removal of edges from the graph.
Gamification is Bullshit, Design for Impact, Public Domain, and Network Analysis
- Gamification is Bullshit (Ian Bogost) — [G]amification is marketing bullshit, invented by consultants as a means to capture the wild, coveted beast that is videogames and to domesticate it for use in the grey, hopeless wasteland of big business, where bullshit already reigns anyway. Bullshitters are many things, but they are not stupid. The rhetorical power of the word “gamification” is enormous, and it does precisely what the bullshitters want: it takes games—a mysterious, magical, powerful medium that has captured the attention of millions of people—and it makes them accessible in the context of contemporary business.
- Design for (Real) Social Impact (Vimeo) — single best talk I’ve seen on making philanthropy effective. (via Rowan Simpson)
- The Public Domain Review — an online weekly journal dedicated to treasures that have entered the public domain and articles on them. The home page currently features: Boris Karloff in “Last of the Mohicans”, the Boston Revolution in psychotherapy, “Was Charles Darwin an Atheist?”, the Orson Welles audio show, “100 Years of The Secret Garden”, a feature on a 1300 year old illustrated work on the Book of Revelations, and more.
- SNAP — the Stanford Network Analysis Platform, a library for network and graph analysis. (via Joshua Schachter)
Graph ORM, Graphic Computation, Web Intents, and Async RPC
- Bulbflow — a Python framework for graph databases: it’s like an ORM for graphs. (via Joshua Schachter)
- Nomograms — the lost art of graphical computing. (via John D Cook)
- Web Intents — adding Android-style Intents to the web. Services register their intention to be able to handle an action on the user’s behalf. Applications request to start an Action of a certain verb (share, edit, view, pick etc) and the system will find the appropriate Services for the user to use based on the user’s preference.
- Finagle (GitHub) — Twitter’s asynchronous network stack for the JVM that you can use to build asynchronous Remote Procedure Call (RPC) clients and servers in Java, Scala, or any JVM-hosted language. Finagle provides a rich set of tools that are protocol independent.
Vector Graphics, Processing Maps, Augemented Senses, and Graph Analysis
- TileMill for Processing — gorgeous custom maps in Processing. (via FlowingData)
- Research Assistant Wanted — working with one of the authors of Mind Hacks on augmenting our existing senses with a form of “remote touch” generated by using artificial distance sensors, such as ultrasound, to stimulate tactile stimulators (vibrating pads) placed against the surface of the head.. (via Vaughn Bell)
- GoldenORB — a cloud-based open source project for massive-scale graph analysis, built upon best-of-breed software from the Apache Hadoop project modeled after Google’s Pregel architecture. (via BigData)
DOM Snitch, Hadoop in Scala, Pregel in Hadoop in Scala, Reflections on the Company
- DOM Snitch — an experimental Chrome extension that enables developers and testers to identify insecure practices commonly found in client-side code. See also the introductory post. (via Hacker News)
- Spark — Hadoop-alike in Scala. Spark was initially developed for two applications where keeping data in memory helps: iterative algorithms, which are common in machine learning, and interactive data mining. In both cases, Spark can outperform Hadoop by 30x. However, you can use Spark’s convenient API to for general data processing too. (via Hilary Mason)
- Bagel — an implementation of the Pregel graph processing framework on Spark. (via Oliver Grisel)
- Week 315 (Matt Webb) — read this entire post. It will make you smarter. The company’s decisions aren’t actually the shareholders’ decisions. A company has a culture which is not the simple sum of the opinions of the people in it. A CEO can never be said to perform an action in the way that a human body can be said to perform an action, like picking an apple. A company is a weird, complex thing, and rather than attempt (uselessly) to reduce it to people within it, it makes more sense – to me – to approach it as an alien being and attempt to understand its biology and momentums only with reference to itself. Having done that, we can then use metaphors to attempt to explain its behaviour: we can say that it follows profit, or it takes an innovative step, or that it is middle-aged, or that it treats the environment badly, or that it takes risks. None of these statements is literally true, but they can be useful to have in mind when attempting to negotiate with these bizarre, massive creatures. If anyone wonders why I link heavily to BERG’s work, it’s because they have some incredibly thoughtful and creative people who are focused and productive, and it’s Webb’s laser-like genius that makes it possible. They’re doing a lot of subtle new things and it’s a delight and privilege to watch them grow and reflect.
Digital Subscriptions, Graph Database, Data Science, and High Speed Compression
- Digital Subscription Prices — the NY Times in context. Aie.
- Trinity — Microsoft Research graph database. (via Hacker News)
- Data Science Toolkit — prepackaged EC2 image of most useful data tools. (via Pete Warden)
- Snappy — Google’s open sourced compression library, as used in BigTable and MapReduce. Emphasis is on speed, with resulting lack of quality in filesize (20-100% bigger than zlib).
Use Gephi and Python to find your personal communities
Using a bit of Python and the Gephi graph tool, exploring your own Twitter network is a great way to learn about analyzing networks: and the results definitely have a "wow" factor.