word2vec — This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. From Google Research paper Efficient Estimation of Word Representations in Vector Space.
What Every Frontend Developer Should Know about Page Rendering — Rendering has to be optimized from the very beginning, when the page layout is being defined, as styles and scripts play the crucial role in page rendering. Professionals have to know certain tricks to avoid performance problems. This arcticle does not study the inner browser mechanics in detail, but rather offers some common principles.
Cayley — an open-source graph inspired by the graph database behind Freebase and Google’s Knowledge Graph.
Alice in Warningland (PDF) — We performed a field study with Google Chrome and Mozilla Firefox’s telemetry platforms, allowing us to collect data on 25,405,944 warning impressions. We find that browser security warnings can be successful: users clicked through fewer than a quarter of both browser’s malware and phishing warnings and third of Mozilla Firefox’s SSL warnings. We also find clickthrough rates as high as 70.2% for Google Chrome SSL warnings, indicating that the user experience of a warning can have tremendous impact on user behaviour.
Mapping Twitter Topic Networks (Pew Internet) — Conversations on Twitter create networks with identifiable contours as people reply to and mention one another in their tweets. These conversational structures differ, depending on the subject and the people driving the conversation. Six structures are regularly observed: divided, unified, fragmented, clustered, and inward and outward hub and spoke structures. These are created as individuals choose whom to reply to or mention in their Twitter messages and the structures tell a story about the nature of the conversation. (via Washington Post)
yasp — a fully functional web-based assembler development environment, including a real assembler, emulator and debugger. The assembler dialect is a custom which is held very simple so as to keep the learning curve as shallow as possible.
Fast Approximation of Betweenness Centrality through Sampling (PDF) — Betweenness centrality is a fundamental measure in social network analysis, expressing the importance or influence of individual vertices in a network in terms of the fraction of shortest paths that pass through them. Exact computation in large networks is prohibitively expensive and fast approximation algorithms are required in these cases. We present two efficient randomized algorithms for betweenness estimation.
Druid — open source clustered data store (not key-value store) for real-time exploratory analytics on large datasets.
It’s Time to Engineer Some Filter Failure (Jon Udell) — Our filters have become so successful that we fail to notice: We don’t control them, They have agendas, and They distort our connections to people and ideas. That idea that algorithms have agendas is worth emphasising. Reality doesn’t have an agenda, but the deployer of a similarity metric has decided what features to look for, what metric they’re optimising, and what to do with the similarity data. These are all choices with an agenda.
Capstone — open source multi-architecture disassembly engine.
The Future of Employment (PDF) — We note that this prediction implies a truncation in the current trend towards labour market polarization, with growing employment in high and low-wage occupations, accompanied by a hollowing-out of middle-income jobs. Rather than reducing the demand for middle-income occupations, which has been the pattern over the past decades, our model predicts that computerisation will mainly substitute for low-skill and low-wage jobs in the near future. By contrast, high-skill and high-wage occupations are the least susceptible to computer capital. (via The Atlantic)
Hackers Gain ‘Full Control’ of Critical SCADA Systems (IT News) — The vulnerabilities were discovered by Russian researchers who over the last year probed popular and high-end ICS and supervisory control and data acquisition (SCADA) systems used to control everything from home solar panel installations to critical national infrastructure. More on the Botnet of Things.
mcl — Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for graphs (also known as networks) based on simulation of (stochastic) flow in graphs.
Facebook to Launch Flipboard-like Reader (Recode) — what I’d actually like to see is Facebook join the open web by producing and consuming RSS/Atom/anything feeds, but that’s a long shot. I fear it’ll either limit you to whatever circle-jerk-of-prosperity paywall-penetrating content-for-advertising-eyeballs trades the Facebook execs have made, or else it’ll be a leech on the scrotum of the open web by consuming RSS without producing it. I’m all out of respect for empire-builders who think you’re a fool if you value the open web. AOL might have died, but its vision of content kings running the network is alive and well in the hands of Facebook and Google. I’ll gladly post about the actual product launch if it is neither partnership eyeball-abuse nor parasitism.
Nanocubes — a fast datastructure for in-memory data cubes developed at the Information Visualization department at AT&T Labs – Research. Nanocubes can be used to explore datasets with billions of elements at interactive rates in a web browser, and in some cases it uses sufficiently little memory that you can run a nanocube in a modern-day laptop. (via Ben Lorica)
Algorithms and Accountability — Thus, the appearance of an autocompletion suggestion during the search process might make people decide to search for this suggestion although they didn’t have the intention to. A recent paper by Baker and Potts (2013) consequently questions “the extent to which such algorithms inadvertently help to perpetuate negative stereotypes”. (via New Aesthetic Tumblr)
Long Stories (Fast Company Labs) — Our strategy was to still produce feature stories as discrete articles, but then to tie them back to the stub article with lots of prominent links, again taking advantage of the storyline and context we had built up there, making our feature stories sharper and less full of catch-up material.
Massachusetts Software Tax (Fast Company Labs) — breakdown of why this crappily-written law is bad news for online companies. Laws are the IEDs of the Internet: it’s easy to make massively value-destroying regulation and hard to get it fixed.
Unhappy Truckers and Other Algorithmic Problems — Even the insides of vans are subjected to a kind of routing algorithm; the next time you get a package, look for a three-letter letter code, like “RDL.” That means “rear door left,” and it is so the driver has to take as few steps as possible to locate the package. (via Sam Minnee)
Fuel3D: A Sub-$1000 3D Scanner (Kickstarter) — a point-and-shoot 3D imaging system that captures extremely high resolution mesh and color information of objects. Fuel3D is the world’s first 3D scanner to combine pre-calibrated stereo cameras with photometric imaging to capture and process files in seconds.
Hacking for Humanity) (The Economist) — Getting PhDs and data specialists to donate their skills to charities is the idea behind the event’s organizer, DataKind UK, an offshoot of the American nonprofit group.
Deep Learning Using Support Vector Machines (Arxiv) — we are proposing to train all layers of the deep networks by backpropagating gradients through the top level SVM, learning features of all layers. Our experiments show that simply replacing softmax with linear SVMs gives significant gains on datasets MNIST, CIFAR-10, and the ICML 2013 Representation Learning Workshop’s face expression recognition challenge. (via Oliver Grisel)