- Oolite — open-source clone of Elite, the classic space trading game from the 80s.
- Who Owns the Robots Rules The World (PDF) — interesting finding: As companies substitute machines and computers for human activity, workers need to own part of the capital stock that substitutes for them to benefit from these new “robot” technologies. Workers could own shares of the firm, hold stock options, or be paid in part from the profits. Without ownership stakes, workers will become serfs working on behalf of the robots’ overlords. Governments could tax the wealthy capital owners and redistribute income to workers, but that is not the direction societies are moving in. Workers need to own capital rather than rely on government income redistribution policies. (via Robotenomics)
- Schrodinger’s Cat Video and the Death of Clear-Text (Morgan Marquis-Boire) — report, based on leaked information, about use of network injection appliances targeted unencrypted pages from major providers. Compromising a target becomes as simple as waiting for the user to view unencrypted content on the Internet.
- CAP 12 Years Later: How the Rules Have Changed — a rundown of strategies available to deal with partitions (“outages”) in a distributed system.
Find emergent properties and solutions to new computing problems with graphs
Graph databases haven’t made the news much because, I think, they don’t fit in convenient categories. They certainly aren’t the relational databases we’re all familiar with, nor are they the arbitrary keys and values provided by many NoSQL stores. But in a highly connected world–where it’s not what you know but whom you know–it makes intuitive sense to arrange our knowledge as nodes and edges.
Ted Nelson, inventor of the hyperlink, recognized the power of viewing life in graphs. After the implosion of his historic Xanadu project, he embarked on a graph database tool called ZigZag. The most modern instantiations of graphs–the Neo4j store and the Alchemy.js tool for interactively visualizing graphs–were well represented this year at O’Reilly’s Open Source convention.
Flexible Data, Google's Bottery, GPU Assist Deep Learning, and Open Sourcing
- Google’s Seven Robotics Companies (IEEE) — The seven companies are capable of creating technologies needed to build a mobile, dexterous robot. Mr. Rubin said he was pursuing additional acquisitions. Rundown of those seven companies.
- Hebel (Github) — GPU-Accelerated Deep Learning Library in Python.
- What We Learned Open Sourcing — my eye was caught by the way they offered APIs to closed source code, found and solved performance problems, then open sourced the fixed code.
- SAMOA — Yahoo!’s distributed streaming machine learning (ML) framework that contains a programming abstraction for distributed streaming ML algorithms. (via Introducing SAMOA)
- madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning methods for structured and unstructured data.
- Data Portraits: Connecting People of Opposing Views — Yahoo! Labs research to break the filter bubble. Connect people who disagree on issue X (e.g., abortion) but who agree on issue Y (e.g., Latin American interventionism), and present the differences and similarities visually (they used wordclouds). Our results suggest that organic visualisation may revert the negative effects of providing potentially sensitive content. (via MIT Technology Review)
- Disguise Detection — using Raspberry Pi, Arduino, and Python.