Future Internet Architectures Aim to Better Serve Billions of Tablets and Smartphones Behind all the dazzling mobile-ready electronics products on display at the Consumer Electronics Show in Las Vegas this week is a looming problem: how to make the networks that support all these wireless devices function robustly and efficiently. With less fanfare than you’d see in Vegas, potential solutions are arising in labs in Pittsburgh, Los Angeles, and New Brunswick, New Jersey. The grand challenge is to overhaul the Internet to better serve an expected flood of 15 billion network-connected devices by 2015—many of them mobile—up from five billion today, according to Intel estimates. The Internet was designed in the 1960s to dispatch data to fixed addresses of static PCs connected to a single network, but today it connects a riot of diverse gadgets that can zip from place to place and connect to many different networks. “Today I have on my desk a smartphone, a tablet, and a Mac computer. Meanwhile, some existing applications help fill a gap.
Global Trends 2030: Alternative Worlds The National Intelligence Council has issued Global Trends 2030: Alternative Worlds, “intended to stimulate thinking about the rapid and vast geopolitical changes characterizing the world today and possible global trajectories during the next 15-20 years.” The report sees four megatrends: Individual empowerment will accelerate substantially during the next 15-20 years owing to poverty reduction and a huge growth of the global middle class, greater educational attainment, better health care, and widespread exploitation of new communications and manufacturing technologies. Enabled by communications technologies, power will shift toward multifaceted and amorphous networks that will form to influence state and global actions. Diffusion of power among countries will have a dramatic impact by 2030. Asia will have surpassed North America and Europe combined in terms of global power, based upon GDP, population size, military spending, and technological investment. Human Augmentation Game changers
We might be living in the least disruptive age in history This is a guest post by Brian Millar, Strategy Director at strategy agency Sense Worldwide. He works with global companies like Nike, Vodafone, and PepsiCo to transform their businesses. You can follow him on Twitter on @arthurascii "The world is moving faster than ever before. Everything is being disrupted, including that thing you do. If you've ever sat through a consultant's presentation, including *cough* many of mine, or leafed through a copy of the Harvard Business Review or Wired then you've heard a spiel like this. My grandmother would have folded her arms and frowned. My son was born in 1999. It's not just me and granny who are sceptical. Of course, there are huge disruptive forces at play in our world, just as there always have been. Other kinds of change are forced by epic ideas that re-engineer our lives. What do we have that compares to that? There are always unsettling forces at work in the world, from the Bronze Age onwards.
Global Trends 2030: “Technological Center Of Gravity” To Shift To Asia By Juliana Chan | EditorialsDecember 14, 2012 A new report by the U.S. National Intelligence Council projects a shift in the ‘technological center of gravity’ to Asia by 2030. AsianScientist (Dec. 14, 2012) – A new U.S. report projects a shift in the “technological center of gravity” to Asia by 2030, as Chinese and Indian companies become competitive internationally. The National Intelligence Council (NIC) of the Office of the Director of National Intelligence (ODNI) report, “Global Trends 2030: Alternative Worlds,” describes a world that will be radically transformed from what we know today. The quadrennial report, in its fifth edition so far, is put out by the U.S. intelligence community to provide a framework for thinking about possible futures over the next 15 to 20 years. Written for a general audience, the 160-page report says Asia will surpass North America and Europe combined in indices of overall power, namely GDP, population size, military spending, and technological investment.
Causal Layered Analysis Defined Complexity requires us to examine futures-related issues from many angles and at multiple levels. Causal Layered Analysis (CLA) is a theory of knowledge and a methodology for creating more-effective policies and strategies. Since its invention in the late 1980s, it has been used successfully with governments, corporations, international think tanks, communities, and cities around the world. It has also been used as the primary research method for dozens of doctoral and master’s students around the world. CLA works at a number of levels, delving deeper than the litany, the headline, or a data level of reality to reach a systemic-level understanding of the causes for the litany. Take quality and safety issues in health care, for example. If we do not go deeper in understanding causation, almost always the business-as-usual strategy is to focus on the individual: more training for particular doctors. Below the systemic level is the worldview, the deep structure of modern medicine.
The American Indian And The "Great Emancipator" By Michael Gaddy Published 01. 9. 03 at 21:31 Sierra Time Perhaps the veneer of lies and historical distortions that surround Abraham Lincoln are beginning to crack. In the movie, "Gangs of New York," we finally have a historically correct representation of the real Abraham Lincoln and his policies. Heretofore, many socialistic intellectuals, politicians and historians have whitewashed these policies in order to protect Lincoln's image because of their allegiance to the unconstitutional centralization of power he brought to our government. The false sainthood and adulation afforded Lincoln has its basis in the incorrect assumption he fought the war to free an enslaved people. One would find it hard to refute that Abraham Lincoln's political idol was Henry Clay. Throughout Clay's political life he was a strong believer in National Socialism and a complete racist in all references to the American Indian.
Imagining the Internet hy study the future? Because our existence depends upon the anticipation of what is to come and our preparation and policymaking responses. Writer H.G. Wells called for a "science of prediction" in 1902 in his "The Discovery of the Future." Since then, the study of the future has gradually become more formalized. Technology innovations will continue to impact us in unstoppable waves of developmental destination. This site is all about the contemplation of the future; on this page, we share a collection of statements about the future. "If one does not know to which port one is sailing, no wind is favorable." - Seneca, Roman philosopher, 3 BC-65 AD "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run." - Roy Amara, leader at the Institute for the Future, a think tank "In the end, what will shape the future is a creative potential that inheres in the new technologies." - Ithiel de Sola Pool, "The Human Use of Human Ideas," 1983
The Class-Domination Theory of Power by G. William Domhoff NOTE: WhoRulesAmerica.net is largely based on my book, Who Rules America?, first published in 1967 and now in its 7th edition. This on-line document is presented as a summary of some of the main ideas in that book. Who has predominant power in the United States? While this conclusion may at first seem too simple or direct, leaving little room for elected officials or voters, the reasons behind it are complex. There is no one big church, as in many countries in EuropeNo big government, as it took to survive as a nation-state in EuropeNo big military until after 1940 (which is not very long ago) to threaten to take over the government Moreover, the simple answer that money rules has to be qualified somewhat. Most of all, there is free speech and the right to vote. Still, the idea that a relatively fixed group of privileged people dominate the economy and government goes against the American grain and the founding principles of the country. Power and Power Indicators
Use Data to Tell the Future: Understanding Machine Learning – Innovation Insi... When Amazon recommends a book you would like, Google predicts that you should leave now to get to your meeting on time, and Pandora magically creates your ideal playlist, these are examples of machine learning over a Big Data stream. With Big Data projected to drive enterprise IT spending to $242 Billion according to Gartner, Big Data is here to stay, and as a result, more businesses of every size are getting into the game. To many enterprise organizations Big Data represents a strategic asset -- it reflects the aggregate experience of the organization. In recent years, companies have focused on how to store and manage this data. These are fair questions to ask, but they don’t get to the core of why Big Data is a big deal. Defining Machine Learning There is a lot of confusion about what machine learning is in the Big Data ecosystem. Comparing Big Data Analytics Software When looking into buying software for Big Data analytics, companies should keep three thoughts in mind:
Annin Flagmakers - The oldest and largest manufacturer of flags in the United States. the good word groundswell Shivon Zilis - Machine Intelligence Machine Intelligence in the Real World (this pieces was originally posted on Tech Crunch) . I’ve been laser-focused on machine intelligence in the past few years. I’ve talked to hundreds of entrepreneurs, researchers and investors about helping machines make us smarter. In the months since I shared my landscape of machine intelligence companies, folks keep asking me what I think of them — as if they’re all doing more or less the same thing. On average, people seem most concerned about how to interact with these technologies once they are out in the wild. In an attempt to explain the differences between how these companies go to market, I found myself using (admittedly colorful) nicknames. The categories aren’t airtight — this is a complex space — but this framework helps our fund (which invests in companies that make work better) be more thoughtful about how we think about and interact with machine intelligence companies. “Panopticons” Collect A Broad Dataset But be careful.