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Irresistible pressure can be exerted on heads of state, who must protect the value of their countries' bonds, and on company executives, responsible for keeping a line of credit open.
The new “masters of the universe,” as author Tom Wolfe first described the arrogant, ambitious young folk who took Wall Street by storm in the 1980s, control what are known as “capital pools” - billions of dollars’ worth of other people’s money flowing through the global economy in the form of federal bonds, company shares, real estate or credit.
Things have changed a lot: Today’s financial heavyweights, the new emperors of the business world, are much more subtle, not to mention better networked and considerably more efficient.
To measure the distance between the Earth and other galaxies, photometry can be combined with deep learning by using machine learning algorithms to train neural networks.
The latest multidisciplinary research generates a great deal of articles peppered with neologisms from various emerging domains like AI.
financier John Pierpont Morgan straddled the financial empires of the world like a colossus. Morgan was a hero of the so-called Gilded Age, the period in the late 19th century when the U. was recovering from a crippling civil war and becoming a global economic superpower. Morgan invested their massive fortunes into sumptuous homes and expensive works of art, wide swathes of the population suffered in abject poverty. Rockefeller, Andrew Carnegie and Cornelius Vanderbilt were transforming market economies into monopolistic ones. Today, no one is closer to money than the asset managers who are entrusted with huge sums from individuals, family-owned businesses, foundations, insurance companies, pension funds and sovereign wealth funds.
These new masters are all about the idea that whoever is closest to the money, makes the most money.Access to society journal content varies across our titles.If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box.References Hoyle, Ben, Measuring photometric redshifts using galaxy images and Deep Neural Networks, Written by Julia Pagès – Trainee at the Terminology Coordination Unit of the European Parliament (Luxembourg) and student of the LSCT Research Masters at the Paris Diderot University.She holds an ILTS Masters Degree (French acronym for Language Industry and Specialised Translation).This brand of financial capitalism is the standard bearer for globalization where in capital and data flow freely.But the system is also causing criticism in the Western world, among locals who have come to fear its potential for simultaneously sending jobs offshore while drawing in immigrants.She analysed an article that stands at the intersection of three specialized fields—cosmography, photometry and deep learning.Cosmography is the science that maps the general features of the Universe by producing dynamic cartographies of the space around us.The world's five largest investment firms pump trillion into the global economy.Clearly power comes with that kind of financial clout.