Blogcoven

Back once again with the renegade master.

Category: series of tubes

Weekend Reading CCXVII

by uber

The Invention of the Illuminati Of course, this is the line they want you to believe, especially as appear to be in the year when we finally immanentize the eschaton. http://www.bbc.com/future/story/20170809-the-accidental-invention-of-the-illuminati-conspiracy The Dan Plan: Trying (and failing) at 10,000 hours of Golf Injury goes from a risk, to a preoccupation, to a virtual certainty as […]

Weekend Reading CCXVI

by uber

Slight Street Sign Modifications Can Completely Fool Machine Learning Algorithms Adversarial examples like this could also be used for interesting applications for steganographic applications http://spectrum.ieee.org/cars-that-think/transportation/sensors/slight-street-sign-modifications-can-fool-machine-learning-algorithms Document: The Symbolism Survey I was very much turned off poetry especially in my youth by edicts telling me what symbolism occurred where, and being compelled to learn those associations […]

Weekend Reading CCXXV

by uber

How United Weathered a Firestorm Most of my US travel is out of a United hub to other United Hubs. There are basically no options for other flights. https://www.nytimes.com/2017/07/27/business/how-united-weathered-a-firestorm.html Is the Study of Language a Science? It’s a hard process, reverse engineering the human brain. https://aeon.co/essays/is-the-study-of-language-a-science Mangled Shakespeare Two related mangled terms also annoy me: […]

Weekend Reading CCXIV

by uber

The Data that changed the Direction of AI Research, and possibly the World The data is very noisy, for example the pug data includes a calendar page and a number of other weird things. Current models are very narrow in their abilities, for example they don’t work with negative images. https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/ How Work Changed to […]

Weekend Reading CCXIII

by uber

The Limitations of Deep Learning Anthropomorphisation is doing significant harm to how machine learning and technology are perceived by society. This includes both general machine learning, and privacy-related areas. https://blog.keras.io/the-limitations-of-deep-learning.html