"education" entries

Four short links: 5 February 2016

Four short links: 5 February 2016

Signed Filesystem, Smart Mirror, Deep Learning Tuts, and CLI: Miami

  1. Introducing the Keybase Filesystem — love that crypto is making its way into the filesystem.
  2. DIY Smart Bathroom Mirror — finally, someone is building this science-fiction future! (via BoingBoing)
  3. tensorflow tutorials — for budding deep learners.
  4. clmystery — a command-line murder mystery.
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Four short links: 26 January 2016

Four short links: 26 January 2016

Inequality, Conversational Commerce, Minsky Lectures, and Trust vs Transparency

  1. What Paul Graham is Missing About Inequality (Tim O’Reilly) — When a startup doesn’t have an underlying business model that will eventually produce real revenues and profits, and the only way for its founders to get rich is to sell to another company or to investors, you have to ask yourself whether that startup is really just a financial instrument, not that dissimilar to the CDOs of the 2008 financial crisis — a way of extracting value from the economy without actually creating it.
  2. 2016 The Year of Conversational Commerce (Chris Messina) — I really hope that these conversations with companies are better than the state-of-the-art delights of “press 5 to replay” phone hell.
  3. Society of Mind (MIT) — Marvin Minsky’s course, with lectures.
  4. Trust vs Transparency (PDF) — explanation facilities
    can potentially drop both a user’s confidence and make the process of search more stressful.
    Aka “few takers for sausage factory tours.” (via ACM Queue)
Comments: 2
Four short links: 25 January 2016

Four short links: 25 January 2016

Company Mortality, Geoffrey West Profile, Microservice Toolkit, and Problem-Free Activities

  1. The Mortality of Companies — Geoffrey West paper: we show that the mortality of publicly traded companies manifests an approximately constant hazard rate over long periods of observation. This regularity indicates that mortality rates are independent of a company’s age. We show that the typical half-life of a publicly traded company is about a decade, regardless of business sector.
  2. The Fortune 500 Teller — profile of Geoffrey West. (via Roger Dennis)
  3. Gizmoa microservice toolkit in Golang from NYT. (via InfoQ)
  4. Intellectual Need and Problem-Free Activity in the Mathematics Classroom (PDF) — Although this is not an empirical study, we use data from observed high school algebra classrooms to illustrate four categories of activity students engage in while feeling little or no intellectual need. We present multiple examples for each category in order to draw out different nuances of the activity, and we contrast the observed situations with ones that would provide various types of intellectual need. Finally, we offer general suggestions for teaching with intellectual need.
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Four short links: 22 January 2016

Four short links: 22 January 2016

Open Source Ultrasound, Deep Learning MOOC, Corp Dev Translation, and Immersive at Sundance

  1. Murgen — open source open hardware ultrasound.
  2. Udacity Deep Learning MOOC — platform is Google’s TensorFlow.
  3. CorpDev Translation“We’ll continue to follow your progress.” Translation: We’ll reach back out when we see you haven’t raised more money and you are probably more desperate because of your shorter runway.
  4. 8i Take Immersive Tech to Sundance8i’s technology lets filmmakers capture entire performances with off-the-shelf cameras and then place them in pre-existing environments, creating a fully navigable 3-D VR movie that’s far more immersive than the 360-degree videos most have seen.
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Four short links: 20 January 2016

Four short links: 20 January 2016

Rules-Based Distributed Code, Open Source Face Recognition, Simulation w/Emoji, and Berkeley's AI Materials

  1. Experience with Rules-Based Programming for Distributed Concurrent Fault-Tolerant Code (A Paper a Day) — To demonstrate applicability outside of the RAMCloud system, the team also re-wrote the Hadoop Map-Reduce job scheduler (which uses a traditional event-based state machine approach) using rules. The original code has three state machines containing 34 states with 163 different transitions, about 2,250 lines of code in total. The rules-based re-implementation required 19 rules in 3 tasks with a total of 117 lines of code and comments. Rules-based systems are powerful and underused.
  2. OpenFace — open source face recognition software using deep neural networks.
  3. Simulating the World in Emoji — fun simulation environment in the browser.
  4. Berkeley’s Intro-to-AI MaterialsWe designed these projects with three goals in mind. The projects allow students to visualize the results of the techniques they implement. They also contain code examples and clear directions, but do not force students to wade through undue amounts of scaffolding. Finally, Pac-Man provides a challenging problem environment that demands creative solutions; real-world AI problems are challenging, and Pac-Man is, too.
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Four short links: January 15, 2016

Four short links: January 15, 2016

Bitcoin Resolution, Malware Analysis, Website Screw-Ups, and Dronecode.

  1. The Resolution of the Bitcoin ExperimentIf you had never heard about Bitcoin before, would you care about a payments network that: Couldn’t move your existing money; Had wildly unpredictable fees that were high and rising fast; Allowed buyers to take back payments they’d made after walking out of shops, by simply pressing a button (if you aren’t aware of this “feature” that’s because Bitcoin was only just changed to allow it); Is suffering large backlogs and flaky payments; … which is controlled by China; … and in which the companies and people building it were in open civil war?
  2. Malware Analysis Repository the materials as developed and used by RPISEC to teach Malware Analysis at Rensselaer Polytechnic Institute in Fall 2015.
  3. How Websites Screw Up Experiences (Troy Hunt) — they’re mostly signs of a to-the-death business model.
  4. Dronecode Moves Forward — Linux Foundation’s Dronecode project has 51 members, is used commercially, and has technical working groups looking at camera and gimbal controls; airspace management; and hardware/software interfaces.
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Four short links: 13 January 2016

Four short links: 13 January 2016

Object Lessons, Data Programming, Generational Adoption, and Product Observations

  1. Object Lessons — Bogost and Schaberg edit a series about the hidden lives of ordinary things, from advocates to attendants, heresies to shares. For anyone who cares about products.
  2. A Data Programming CS1 Course (PDF) — We have found that students can be motivated to learn programming and computer science concepts in order to analyze DNA, predict the outcome of elections, detect fraudulent data, suggest friends in a social network, determine the authorship of documents, and more. The approach is more than just a collection of “nifty assignments”; rather, it affects the choice of topics and pedagogy.
  3. Cars and the Future (Ben Thompson) — This generational pattern of adoption will, in the history books, look sudden, even as it seems to unfold ever so slowly for those of us in the here and now — especially those of us working in technology. The pace of change in the technology industry — which is young, hugely driven by Moore’s Law, and which has largely catered to change-embracing geeks — is likely the true aberration. After all, the biggest mistake consistently made by technologists is forgetting that for most people technology is a means to an end, and for all the benefits we can list when it comes to over-the-top video or a network of on-demand self-driving vehicles, change and the abandonment of long-held ideals like the open road and a bit of TV after supper is an end most would prefer to avoid.
  4. CES 2016 Observations for Product PeopleThe big challenge is no surprise. Software development is unable to keep up with the hardware. What is going to separate one device from another or one company from another will be the software execution, not just the choice of chipset or specs for a peripheral/sensor. It would be hard to overstate the clear opportunity to build winning products using stronger software relative to competitors. Said another way, spending too many cycles on hardware pits you against the supply chain for most products. The whole piece is solid.
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Four short links: 24 December 2015

Four short links: 24 December 2015

Python Viz, Linux Scavenger Hunt, Sandbox Environment, and Car Code

  1. Foliummakes it easy to visualize data that’s been manipulated in Python on an interactive Leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing Vincent/Vega visualizations as markers on the map.
  2. scavenger-huntA scavenger hunt to learn Linux commands.
  3. SEE — F-Secure’s open source Sandboxed Execution Environment (SEE) is a framework for building test automation in secured Environments.
  4. The Problem with Self-Driving Cars: Who Controls the Code? (Cory Doctorow) — Here’s a different way of thinking about this problem: if you wanted to design a car that intentionally murdered its driver under certain circumstances, how would you make sure that the driver never altered its programming so that they could be assured that their property would never intentionally murder them?
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Four short links: 9 December 2015

Four short links: 9 December 2015

Graph Book, Data APIs, Mobile Commerce Numbers, and Phone Labs

  1. Networks, Crowds, and Markets — network theory (graph analysis), small worlds, network effects, power laws, markets, voting, property rights, and more. A book that came out of a Cornell course by ACM-lauded Jon Kleinberg.
  2. Qua framework for building data APIs. From a government department, no less. (via Nelson Minar)
  3. Three Most Common M-Commerce Questions Answered (Facebook) — When we examined basket sizes on an m-site versus an app, we found people spend 43 cents in app to every $1 spent on m-site. (via Alex Dong)
  4. Phonelabs — science labs with mobile phones. All open sourced for maximum spread.
Comments: 2
Four short links: 9 November 2015

Four short links: 9 November 2015

Smart Sensors, Learning Autopilot, Higher Education, and 3D Soccer

  1. Low-Power Deep Learning — it’s a media release for proprietary tech, but interesting that people are working on low-power deep learning neural nets. As Pete Warden noted, this kind of research will be at the center of smart sensors. (via Pete Warden)
  2. Tesla’s Self-Improving Autopilot — it learns when you “rescue” (aka take control back from autopilot), so it’s getting better day by day. Musk said that Model S owners could add ~1 million miles of new data every day, which is helping the company create “high-precision maps.” Navteq, Google Maps, Waze … new map data is still valuable.
  3. The Digital Revolution in Higher Education Has Already Happened (Clay Shirky) — and no-one noticed. I read half of this before going “holy crap this is good, who wrote it?” I’m a Shirky junkie (I bet his laundry lists cite Habermas and the Peace of Westphalia). At the current rate of growth, half the country’s undergraduates will have at least one online class on their transcripts by the end of the decade. This is the new normal. But, As long as we discuss online education as a pedagogic revolution rather than an organizational one, we aren’t even having the right kind of conversation. The dramatic adoption of online education is not mainly a change in the content of classes. It’s a change in the institutional form of college, a demand for more flexibility by students who have to manage the increasingly complicated triangle of work, family, and school.
  4. System Automatically Converts 2-D to 3-D (MIT) — hilarious strategy! They constrained their domain: broadcast soccer games. The MIT and QCRI researchers essentially ran this process in reverse. They set the very realistic Microsoft soccer game “FIFA13” to play over and over again, and used Microsoft’s video-game analysis tool PIX to continuously store screen shots of the action. For each screen shot, they also extracted the corresponding 3-D map. […] For every frame of 2-D video of an actual soccer game, the system looks for the 10 or so screen shots in the database that best correspond to it. Then it decomposes all those images, looking for the best matches between smaller regions of the video feed and smaller regions of the screen shots. Once it’s found those matches, it superimposes the depth information from the screen shots on the corresponding sections of the video feed. Finally, it stitches the pieces back together. Brute-forcing soccer. Ok, perhaps “hilarious” for a certain type of person. I am that person.
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