“innovation”
The quotes are important. There are different approaches to innovation. The one described here may be pushed by politicians and administrators, but some would argue that it’s not innovation in the same sense as what either Eric Von Hippel or Michael Schragge might describe.
apprivoisés
relation entre le protocole et la pratique : apprivoiser, adopter, souscrire, mais aussi prendre en compte, contourner, etc. relation entre protocole et dispositif ?
Innovation isn’t always about technology, efficiency, speed, scale
According to scholars like MIT’s Eric Von Hippel and Michael Schrage, innovation is about usage. Otherwise, it’s just novelty. But the innovation discourse often repurposes the term to be about R&D.
it’s also something of a hack
a web-wide ‘Like’ feature could just be implemented as a special kind of annotation
Unlike some other approaches to development, this acknowledgment that usage can push innovation could help expand Hypothesis beyond a core base of “annotation geeks”. Document-level annotations can serve to classify or evaluate, like social bookmarking. What’s wrong with that?
‘We need to return to the original purpose of the library, which is to support all the various needs of the scholar and provide him or her with a place to come up with ideas and make breakthroughs that would not otherwise have happened.’
Quote from Christine Madsen http://christinemadsen.com/
the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression
Specifically, we explore three key usage modes (see Figure 1): • HPC in the Cloud , in which researchers out - source entire applications to current public and/ or private Cloud platforms; • HPC plus Cloud , focused on exploring scenarios in which clouds can complement HPC/grid re - sources with cloud services to support science and engineering application workflows—for ex - ample, to support heterogeneous requirements or unexpected spikes in demand; and • HPC as a Service , focused on exposing HPC/grid resources using elastic on-demand cloud abstrac - tions, aiming to combine the flexibility of cloud models with the performance of HPC systems
Three key usage modes for HPC & Cloud: