Charting and zero values.

Not that I'm obsessed with p values or anthing in the run up to chi.

http://www.vox.com/2016/3/15/11225162/p-value-simple-definition-hacking

Future of the high street and other social computing.

It's wonderful being in a new group. This is from a Curator  project workshop I attended looking at  the future of high street retail specifically the future of the traditional English pub ( Bar ). There has been many on the decline and it becomes an interesting point to look at how technology has influenced this decline and what technology may or may not do to revitalise.

Andrew McAfee: Are droids taking our jobs?

3D printed sundial displays the time digitally

Everyone is back from Chi and I noticed this lovely non digital digital thing. I'm excited by the potential for non digital things inconcivble before 3d printing this is one.

Debate Graph

http://debategraph.org/

Nice one on Meaning of AI.

Nice user interaface - nicely interactive. Super nerdy. 

Alan Kay at chi2016

Alan Kay taking up Douglas Englebart

At CHI

Textometrica

Textometrica: http://textometrica.humlab.umu.se/



useful text analysis tool.

Emotion Sense

Emotion Sense



A project to guess your emtotional state from how you use your phone.



file under nice if it works.

New office at Norsc

Mark Your Territory - Check Into Foursquare by Peeing

Such genius,I want PhD students like this.

Sony Portable Ultra Short Throw Projector is tiny, homely

I feel a disturbance in the field.

A Gentle Introduction to Scikit-Learn

"A Gentle Introduction to Scikit-Learn: Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python. It is licensed under a permissive simplified BSD license and is distributed under many Linux distributions, encouraging academic and commercial use. The library is built upon the SciPy (Scientific Python) that must be installed before you can use scikit-learn. This stack that includes: NumPy: Base n-dimensional array package SciPy: Fundamental library for scientific computing Matplotlib: Comprehensive 2D/3D plotting IPython: Enhanced interactive console Sympy: Symbolic mathematics Pandas: Data structures and analysis Extensions or modules for SciPy care conventionally named SciKits. As such, the module provides learning algorithms and is named scikit-learn. The vision for the library is a level of robustness and support required for use in production systems. This means a deep focus on concerns such as easy of use, code quality, collaboration, documentation  and performance. Although the interface is Python, c-libraries are leverage for performance such as numpy for arrays and matrix operations, LAPACK, LibSVM and the careful use of cython."