Apps are dying. Long live the subservient bots ready to fulfil your every desire

Some interesting info on new types of interaction processes



Apps are dying. Long live the subservient bots ready to fulfil your every desire: In October 2009, Apple launched in-app purchases for the App Store. The software industry hasn't looked back. In the second half of 2013 alone, Candy Crush Saga made $1.04 billion from microtransactions. More recently, Pok�mon GO, Niantic's runaway-success game, made $35 million from in-app purchases in two weeks. According to analysts IDC, revenue from mobile apps, not including advertising, was around $34.2 billion in 2015. For bots, the opportunity could be even greater. "Bots have emerged as a high-potential channel of distribution for mobile services," says Guo. Not only do messaging apps have a captive audience, the cost of developing bots is lower than for apps. "The progression from trivial to sophisticated is going to happen faster," says Underwood. "App developers have been able to learn from the introduction of prior interfaces because it wasn't long ago that mobile apps came on the scene. It took a few years in mobile. With bots I think it will happen in half the time." Libin, one of the bot industry's leading investors, has no doubts about its transformative potential. "There are going to be 100 million bots. It's going to be similar to the app gold-rush, but magnified," he says. As with apps, the vast majority of bots will be pointless, he argues. "But the few hundred that are actually really good are going to be world-changing."

Coding the Amazon Echo (Alexa) - How to create custom Alexa skills from ...

Sexy

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."