"probabilistic programming" entries

Four short links: 19 September 2013

Four short links: 19 September 2013

Art and Money, Probabilistic Programming, Feature Flow, and Good Drones

  1. How Jim Henson Turned His Art Into a Business (Longreads) — When Henson joined on to the experimental PBS show Sesame Street in 1968, he was underpaid for his services creating Big Bird and Oscar. Yet he spent his free nights in his basement, shooting stop-motion films that taught kids to count. If you watch these counting films, the spirit of Henson’s gift shines through. I think any struggling artist today could count Henson among their ilk. He had all the makings of a tragic starving artist. The only difference between him and us is that he made peace with money.
  2. Probabilistic Programming and the Democratization of AI (YouTube) — talk by Brian Ruttenberg, examples in Figaro, a Scala library which is apparently open source despite hiding behind a “give us your contact details” form.
  3. Linux Panel — love the crossflow of features: “Embedded today is what enterprise was five years ago,” Kroah-Hartman said. “You have a quad-core in your pocket. The fun thing about Linux is all the changes you make have to work on all the things.” The advances in power management driven by mobile devices initially weren’t that interesting to enterprise developers, according to Kroah-Hartman. That quickly changed once they realized it was helping them save millions of dollars in data center power costs.
  4. A Drone’s View of the Colorado Floods (DIY Drones) — some amazing footage.
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Four short links: 2 July 2013

Four short links: 2 July 2013

Microvideos for MIcrohelp, Organic Search, Probabilistic Programming, and Cluster Management

  1. How to Make Help Microvideos For Your Site (Alex Holovaty) — Instead of one monolithic video, we decided to make dozens of tiny, five-second videos separately demonstrating features.
  2. How Google is Killing Organic Search — 13% of the real estate is organic results in a search for “auto mechanic”, 7% for “italian restaurant”, 0% if searching on an iPhone where organic results are four page scrolls away. SEO Book did an extensive analysis of just how important the top left of the page, previously occupied by organic results actually is to visitors. That portion of the page is now all Google. (via Alex Dong)
  3. Church — probabilistic programming language from MIT, with tutorials. (via Edd Dumbill)
  4. mesosa cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It can run Hadoop, MPI, Hypertable, Spark (a new framework for low-latency interactive and iterative jobs), and other applications. Mesos is open source in the Apache Incubator. (via Ben Lorica)
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What is probabilistic programming?

Probabilistic languages can free developers from the complexities of high-performance probabilistic inference.

Probabilistic programming languages are in the spotlight. This is due to the announcement of a new DARPA program to support their fundamental research. But what is probabilistic programming? What can we expect from this research? Will this effort pay off? How long will it take?

A probabilistic programming language is a high-level language that makes it easy for a developer to define probability models and then “solve” these models automatically. These languages incorporate random events as primitives and their runtime environment handles inference. Now, it is a matter of programming that enables a clean separation between modeling and inference. This can vastly reduce the time and effort associated with implementing new models and understanding data. Just as high-level programming languages transformed developer productivity by abstracting away the details of the processor and memory architecture, probabilistic languages promise to free the developer from the complexities of high-performance probabilistic inference. Read more…

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Four short links: 29 March 2013

Four short links: 29 March 2013

Titan Improved, Security Tweeps, Probabilistic Programming, and 3D-Printable Optics

  1. Titan 0.3 Out — graph database now has full-text, geo, and numeric-range index backends.
  2. 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.
  3. 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)
  4. 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.
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