Seven Revolutions

Seven Revolutions

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Seven Revolutions is a global trends and strategy project at CSIS. We begin with a question - what will the world look like in 2035 and beyond?

In answering this question, we focus on the seven areas in which we expect change to be most “revolutionary”, which are:
(1) population
(2) strategic resource management of food, water, and energy
(3) technological innovation and diffusion
(4) information and knowledge flows
(5) economic integration
(6) the nature and mode of security
(7) the challenge of governance

MIT's wearable device can 'hear' the words you say in your head 04/10/2018

New tech will make the privacy vs convenience debate increasingly complicated to navigate. From : MIT's wearable device can 'hear' the words you say in your head

MIT's wearable device can 'hear' the words you say in your head Researchers built a device that detects subvocalization signals with electrodes and turns them into words using AI.

Photos 03/05/2018

Italy's election today shows populism is alive and well: "In Sunday’s vote, early results showed, the parties that did well all shared varying degrees of Euroskepticism..." Many voters supported an Italy-first agenda. https://buff.ly/2FdO6vR

Losing in Every Direction: The Arab Game of Thrones 02/01/2018

A new report looks at the impacts of demography, conflict, and governance in a pivotal region of the world.

Losing in Every Direction: The Arab Game of Thrones History is never particularly merciful, especially in the case of failed leaders. One cannot help but wonder therefore, how will future generations of Arabs judge their current leaders? How will they judge their leaders’ focus on personal power and regime survival, on choosing one group of nationa...

Google Sells A.I. for Building A.I. (Novices Welcome) 01/17/2018

It looks like Google is trying to be the Google for AI--making it easier for anyone to build their own AI algorithms.

Google Sells A.I. for Building A.I. (Novices Welcome) With a new cloud-computing service, businesses can build their own artificial intelligence algorithms, even if they have little experience with the technology.

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