Facebook’s Mystery Machine — The goal of this paper is very similar to that of Google Dapper[…]. Both work [to] try to figure out bottlenecks in performance in high fanout large-scale Internet services. Both work us[ing] similar methods, however this work (the mystery machine) tries to accomplish the task relying on less instrumentation than Google Dapper. The novelty of the mystery machine work is that it tries to infer the component call graph implicitly via mining the logs, where as Google Dapper instrumented each call in a meticulous manner and explicitly obtained the entire call graph.
The Multiple Lives of Moore’s Law — A shrinking transistor not only allowed more components to be crammed onto an integrated circuit but also made those transistors faster and less power hungry. This single factor has been responsible for much of the staying power of Moore’s Law, and it’s lasted through two very different incarnations. In the early days, a phase I call Moore’s Law 1.0, progress came by “scaling up”—adding more components to a chip. At first, the goal was simply to gobble up the discrete components of existing applications and put them in one reliable and inexpensive package. As a result, chips got bigger and more complex. The microprocessor, which emerged in the early 1970s, exemplifies this phase. But over the last few decades, progress in the semiconductor industry became dominated by Moore’s Law 2.0. This era is all about “scaling down,” driving down the size and cost of transistors even if the number of transistors per chip does not go up.
The Trolley and the Psychopath — Not only does a “utilitarian” response (“just kill the fat guy”) not actually reflect a utilitarian outlook, it may actually be driven by broad antisocial tendencies, such as lowered empathy and a reduced aversion to causing someone harm. Questionably expanding scope of claims in the behavioural philosophy research. (via Ed Yong)
Exploit Exercises — a variety of virtual machines, documentation, and challenges that can be used to learn about a variety of computer security issues, such as privilege escalation, vulnerability analysis, exploit development, debugging, reverse engineering, and general cyber security issues.
gunrock — a CUDA library for graph primitives that refactors, integrates, and generalizes best-of-class GPU implementations of breadth-first search, connected components, and betweenness centrality into a unified code base useful for future development of high-performance GPU graph primitives. (via Ben Lorica)
How to Share Data with a Statistician — some instruction on the best way to share data to avoid the most common pitfalls and sources of delay in the transition from data collection to data analysis.
Bazel — a build tool, i.e. a tool that will run compilers and tests to assemble your software, similar to Make, Ant, Gradle, Buck, Pants, and Maven. Google’s build tool, to be precise.
Swarmfarm Robotics — His previous weed sprayer weighed 21 tonnes, measured 36 metres across its spray unit, guzzled diesel by the bucketload and needed a paid driver who would only work limited hours. Two robots working together on Bendee effortlessly sprayed weeds in a 70ha mung-bean crop last month. Their infra-red beams picked up any small weeds among the crop rows and sent a message to the nozzle to eject a small chemical spray. Bate hopes to soon use microwave or laser technology to kill the weeds. Best of all, the robots do the work without guidance. They work 24 hours a day. They have in-built navigation and obstacle detection, making them robust and able to decide if an area of a paddock should not be traversed. Special swarming technology means the robots can detect each other and know which part of the paddock has already been assessed and sprayed.
Route to Market (Matt Webb) — The route to market is not what makes the product good. […] So the way you design the product to best take it to market is not the same process to make it great for its users.
I-JSON (Tim Bray) — I-JSON is just a note saying that if you construct a chunk of JSON and avoid the interop failures described in RFC 7159, you can call it an “I-JSON Message.” If any known JSON implementation creates an I-JSON message and sends it to any other known JSON implementation, the chance of software surprises is vanishingly small.
How to Make Moonshots (Astro Teller) — Expecting a person to be a reliable backup for the [self-driving car] system was a fallacy. Once people trust the system, they trust it. Our success was itself a failure. We came quickly to the conclusion that we needed to make it clear to ourselves that the human was not a reliable backup — the car had to always be able to handle the situation. And the best way to make that clear was to design a car with no steering wheel — a car that could drive itself all of the time, from point A to point B, at the push of a button.
Billion-Dollar Math (Bloomberg) — There’s a new buzzword, “decacorn,” for those over $10 billion, which includes Airbnb, Dropbox, Pinterest, Snapchat, and Uber. It’s a made-up word based on a creature that doesn’t exist. “If you wake up in a room full of unicorns, you are dreaming,” Todd Dagres, a founding partner at Spark Capital, recently told Bloomberg News. Not just cute seeing our industry explained to the unwashed, but it’s the first time I’d seen decacorn. (The weather’s just dandy in my cave, thanks for asking).
What Impactful Engineering Leadership Looks Like — aside from the ugliness of “impactful,” notable for good advice. “When engineering management is done right, you’re focusing on three big things,” she says. “You’re directly supporting the people on your team; you’re managing execution and coordination across teams; and you’re stepping back to observe and evolve the broader organization and its processes as it grows.”
cxxnet — “a fast, concise, distributed deep learning framework” that scales beyond a single GPU.
Sirius — UMich open source “intelligent Personal Assistant” (aka Siri, Cortana, Google Now, etc.). Text recognition, image recognition, query processing components. They hope it’ll be a focal point for research in the area, the way that open source operating systems have focused university research.
MIT DragonBot Evolving to Teach Kids (IEEE Spectrum) — they’re moving from “Wizard of Oz” (humans-behind-the-scenes) control to autonomous operation. Lovely example of Flintstoning in a robotics context.
Personal Assistants Coming (Robohub) — 2015 is the year physical products will be coming to market and available for experimentation and testing. Pepper ships in the summer in Japan, JIBO ships preorders in Q3, as does Cubic in the fall and EmoSpark in the summer. […]The key to the outcome of this race is whether a general purpose AI will be able to steer people through their digital world, or whether users would rather navigate to applications that are specialists (such as American Airlines or Dominos Pizza).
Ex Machine: When Turing Meets the Bechdel Test — The Bechdel Test is useful for more than examining gender representation. It can be our Turing Test for creating believable alien or artificial life forms. If you look at our filmic or cultural representations of the other or alien, then you have to be struck by the singular nature of them all. From Frankenstein to Big Hero 6, do they have any reality without the central human characters? No, they are alone. Even Alien is alone. At least in Frankenstein, it is the utter aloneness of the new form that is the whole story. Films that have pushed the envelope are few. And doing a quick mental check, one was left feeling empathy for the ‘others’ in only a couple, like Westworld, BladeRunner, and Planet of the Apes, and the books of writers like Brin and Cherryh.
Valve’s SteamVR — What these two experiences shared was an overpowering sense of intimacy with the virtual space. This is brought home again and again in the demos, and its impact is profound. The smallness of the space you can move around – 15 feet square – is almost a virtue in this respect, because it focuses you on your immediate surroundings in a way the vast majority of video games don’t, and which has much more in common with real life.
The Sad State of Sysadmin in the Age of Containers (Erich Schubert) — a Grumpy Old Man rant, but solid. And since nobody is still able to compile things from scratch, everybody just downloads precompiled binaries from random websites. Often without any authentication or signature.
Pinball — Pinterest open-sourced their data workflow manager.
Disambiguating Databases (ACM) — The scope of the term database is vast. Technically speaking, anything that stores data for later retrieval is a database. Even by that broad definition, there is functionality that is common to most databases. This article enumerates those features at a high level. The intent is to provide readers with a toolset with which they might evaluate databases on their relative merits.
Hello Barbie — I just can’t imagine a business not wanting to mine and repurpose the streams of audio data coming into their servers. “You listen to Katy Perry a lot. So do I! You have a birthday coming up. Have you told your parents about the Katy Perry brand official action figurines from Mattel? Kids love ‘em, and demo data and representative testing indicates you will, too!” Or just offer a subscription service where parents can listen in on what their kids say when they play in the other room with their friends. Or identify product mentions and cross-market offline. Or …
As a Working Manager (Ian Bicking) — I look forward to every new entry in Ian’s diary, and this one didn’t disappoint. But I’m a working manager. Is now the right time to investigate that odd log message I’m seeing, or to think about who I should talk to about product opportunities? There’s no metric to compare the priority of two tasks that are so far apart. If I am going to find time to do development I am a bit worried I have two options: (1) Keep doing programming after hours; (2) Start dropping some balls as a manager.
Introducing Yosemite (Facebook) — a modular chassis that contains high-powered system-on-a-chip (SoC) processor cards.
The Joyless World of Data-Driven Startups — There is so much invisible, fluid context wrapped around a data point that we are usually unable to fully comprehend exactly what that data represents or means. We often think we know, but we rarely do. But we really WANT it to mean something, because using data in our work is scientific. It’s not our decision that was wrong — we used the data that was available. Data is the ultimate scapegoat.
History of the Urban Dashboard — the dashboard and its user had to evolve in response to one another. The increasing complexity of the flight dashboard necessitated advanced training for pilots — particularly through new flight simulators — and new research on cockpit design.
Designing the Human-Robot Relationship (O’Reilly) — We can use those same principles [Jakob Nielsen’s usability heuristics] and look for implications of robots serving our higher ordered needs, as we move from serving needs related to convenience or performance to actually supporting our decision making to emerging technologies, moving from being able to do anything or be magic in terms of the user interface to being more human in the user interface.
Why Are Geospatial Databases So Hard To Build? — Algorithms in computer science, with rare exception, leverage properties unique to one-dimensional scalar data models. In other words, data types you can abstractly represent as an integer. Even when scalar data types are multidimensional, they can often be mapped to one dimension. This works well, as the majority of [what] data people care about can be represented with scalar types. If your data model is inherently non-scalar, you enter an algorithm wasteland in the computer science literature.
The growing role of software architects: “Architecture has become much more interesting now because it’s become more encompassing," says Neal Ford, software architect and meme wrangler at ThoughtWorks.