Four short links: 13 July 2017

Conversational Data Science, L3 Autonomy, Human Computation, and Embedded Learning

By Nat Torkington
July 13, 2017
Four short links.
  1. Iris: A Conversational Agent for Data Science — a cross between R Notebook and Facebook Messenger. See also this description of the project and what they hope to achieve.
  2. Audi A8: First to Reach Level 3 Autonomy — for those of you not up with your autonomous driving levels, the A8 features the “AI traffic jam pilot,” meaning the car can take control of the driving in slow-moving traffic at up to 60 kilometers per hour. The system is activated by a button on the center console, and it can take over acceleration, braking, steering, and starting from a dead-stop, all without the driver paying attention.
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  4. The Complexity of Human Computation: A Concrete Model with Application to PasswordsThe intent of this paper is to apply the ideas and methods of theoretical computer science to better understand what humans can compute in their heads. For example, can a person compute a function in their head so that an eavesdropper with a powerful computer—who sees the responses to random inputs—still cannot infer responses to new inputs?
  5. ELL — Microsoft’s Embedded Learning Library, which allows you to build and deploy machine-learned pipelines onto embedded platforms, like Raspberry Pis, Arduinos, micro:bits, and other microcontrollers. The deployed machine learning model runs on the device, disconnected from the cloud. Our APIs can be used either from C++ or Python.
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