The Machine that Would Predict the Future

Weinberger, David

doi:10.1038/scientificamerican1211-52

Cited by 18 publications

(8 citation statements)

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“…Studies of cultural change and evolution have been transformed recently by a new level of accessibility and volume of electronic data concerning human behavior [1]. Among these, new studies of word usage can access mass everyday public preferences that may be missed in mainstream history and politics [2]–[8].…”

Section: Introductionmentioning

confidence: 99%

The Expression of Emotions in 20th Century Books

et al. 2013

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We report here trends in the usage of “mood” words, that is, words carrying emotional content, in 20th century English language books, using the data set provided by Google that includes word frequencies in roughly 4% of all books published up to the year 2008. We find evidence for distinct historical periods of positive and negative moods, underlain by a general decrease in the use of emotion-related words through time. Finally, we show that, in books, American English has become decidedly more “emotional” than British English in the last half-century, as a part of a more general increase of the stylistic divergence between the two variants of English language.

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Section: Introductionmentioning

confidence: 99%

The Expression of Emotions in 20th Century Books

et al. 2013

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“…It is true that the further in time one predicts, the less likely is one to accurately describe the future since our basis is always incomplete with regard to the future. This is the impetus for "big data" activities that have recently begun to appear [3].…”

Section: Related Workmentioning

confidence: 99%

“…Could we formulate a model for a new computational capability that would allow amalgamation of data, now called big data [3], to produce a new computing paradigm? We strive to process ever-larger amounts of data by developing algorithms to extract meaningful relationships among the data.…”

Section: Introductionmentioning

confidence: 99%

APPMPS: An Asynchronous Parallel Plastic Multiprocessing System

Fisher

Baek

Fisher

2015

IEEE Systems Journal

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The idea of loosely coupled machines with a common purpose has become a staple in many academic and research institutions. In terms of parallel computing, it presents a viable alternative to classic approaches. We consider a model of a parallel computing environment using the ideas from loosely coupled systems such as those found in clusters, swarms, or neural systems. We primarily describe in this paper the nature of the processing and the organization of memory in an asynchronous parallel plastic multiprocessing system. The ideas presented are based on a mathematical formulation of sequences of symbols representing sensor output originating from some phenomena. If multiple sequences are processed, then signal fusion issues arise, which we consider. We also describe how data are processed and results are reported. We use simple examples to illustrate these ideas.Index Terms-Data-dependent processing, parallel machine architecture, reasoning machine, self-modifying architecture.

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“…. .to model global-scale systems-economies, governments, cultural trends, epidemics, agriculture, technological developments, and more-using torrential data streams, sophisticated algorithms, and as much hardware as it takes" [11]. Skepticism that such a model will provide a clear window into the future is justified, but the effort can be expected to contribute a lot of new knowledge, regardless of its success in prediction.…”

Section: Probing the Futurementioning

confidence: 99%

Sustainability—What Are the Odds? Envisioning the Future of Our Environment, Economy and Society

Jordan¹

2013

Humanities

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This article examines the concept of sustainability from a global perspective, describing how alternative futures might develop in the environmental, economic, and social dimensions. The alternatives to sustainability appear to be (a) a catastrophic failure of life support, economies, and societies, or (b) a radical technological revolution (singularity). The case is made that solutions may be found by developing a global vision of the future, estimating the probabilities of possible outcomes from multiple indicators, and looking holistically for the most likely paths to sustainability. Finally, an intuitive vision of these paths is offered as a starting point for discussion.

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The Machine that Would Predict the Future

Cited by 18 publications

References 0 publications

The Expression of Emotions in 20th Century Books

The Expression of Emotions in 20th Century Books

APPMPS: An Asynchronous Parallel Plastic Multiprocessing System

Sustainability—What Are the Odds? Envisioning the Future of Our Environment, Economy and Society

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