Valuable as it is, attention is also easy to squander. When taking in information, our minds are terrible at discerning between the significant and the trivial. So if we're trying to work out a dense mental problem in our heads and our phone pings, we will pay attention to the ping automatically and stop focusing on the mental problem. That weak attentional filter is a bigger shortcoming in the smartphone era than ever before.

This past year’s 6% growth is down from 11% in 2016. As we reported last year, users now spend more than five hours a day on their smartphones, and shift their daily time spent between new and old app experiences, versus giving more of their overall daily time.

"potentiality" (to graft a concept by Anton Chekov from a literary to a technical context). This is the idea that within the use of every technical tool there is more than just the consciousness of that tool, there is also the possibility to spark something beyond those predefined use

confront

he key for Locke is to guarantee that words arc uscd con-sistently, for then they will hear a simple relationship to ideas.

The STM sharing principles calls for building usage stats across legal sharing networks but that infrastructure has not been built yet.

According to the language periodical Språktidningen, ‘hen’ was by 2014 used once in the Swedish media for every 300 used of ‘hon’ or ‘han’, up from one in every 13,000 in 2011

nobody takes social media lightly.

“innovation”

apprivoisés

Innovation isn’t always about technology, efficiency, speed, scale

it’s also something of a hack

a web-wide ‘Like’ feature could just be implemented as a special kind of annotation

‘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.’

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