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"In 2009, the scientific literature caught up with what top climate scientists have been saying privately for a few years now: * Many of the predicted impacts of human-caused climate change are occurring much faster than anybody expected - particularly ice melt, everywhere you look on the planet. * If we stay anywhere near our current emissions path, we are facing incalculable catastrophes by century's end, including rapid sea level rise, massive wildfires, widespread Dust-Bowlification, large oceanic dead zones, and 9°F warming - much of which could be all but irreversible for centuries. And that's not the worst-case scenario! * The consequences for human health and well being would be extreme. That's no surprise to anybody who has talked to leading climate scientists in recent years, read my book Hell and High Water (or a number of other books), or followed this blog. Still, it is a scientific reality that I don't think more than 2 people in 100 fully grasp, so I'm going to review here the past year in climate science. I'll focus primarily on the peer-reviewed literature, but also look at some major summary reports."

Apomediation is a new scholarly socio-technological term that characterizes the process of disintermediation (intermediaries are middlemen or "gatekeeper", e.g. health professionals giving "relevant" information to a patient, and disintermediation means to bypass them), whereby the former intermediaries are functionally replaced by apomediaries, i.e. network/group/collaborative filtering processes [Eysenbach, 2008 [WebCite] and 2007b]. The difference between an intermediary and an apomediary is that an intermediary stands "in between" (latin: inter- means "in between") the consumer and information/service, i.e. is absolutely necessary to get a specific information/service. In contrast, apomediation means that there are agents (people, tools) which "stand by" (latin: apo- means separate, detached, away from) to guide a consumer to high quality information/services/experiences, without being a prerequisite to obtain that information/service in the first place. The switch from an intermediation model to an apomediation model has broadimplications for example for the way people judge credibility, as hypothesized and elaborated in more detail elsewhere [

Complete video at: http://fora.tv/2009/05/23/Marcus_Chown_in_Conversation_with_Fred_Watson Marcus Chown, author of Quantum Theory Cannot Hurt You: A Guide to the Universe, discusses the mechanics behind quantum computers, explaining that they function by having atoms exist in multiple places at once. He predicts that quantum computers will be produced within 20 years. ----- The two towering achievements of modern physics are quantum theory and Einsteins general theory of relativity. Together, they explain virtually everything about the world in which we live. But almost a century after their advent, most people havent the slightest clue what either is about. Radio astronomer, award-winning writer and broadcaster Marcus Chown talks to fellow stargazer Fred Watson about his book Quantum Theory Cannot Hurt You. - Australian Broadcasting Corporation Marcus Chown is an award-winning writer and broadcaster. Formerly a radio astronomer at the California Institute of Technology, he is now cosmology consultant of the weekly science magazine New Scientist. The Magic Furnace, Marcus' second book, was chosen in Japan as one of the Books of the Year by Asahi Shimbun. In the UK, the Daily Mail called it "a dizzy page-turner with all the narrative devices you'd expect to find in Harry Potter". His latest book is called Quantum Theory Cannot Hurt You.

Hortonworks, IBM and Red Hat today announced they're banding together to build a consistent hybrid computing architecture for big data workloads. Dubbed the Open Hybrid Architecture Initiative, the program pledges simplicity of deployment and freedom of movement for data apps. The rapid ascent of cloud computing platforms like AWS, Azure, and Google Cloud has given enterprises abundant new options for storing data and deploying processing-intensive applications, such as deep learning and real-time stream processing. Throw in the progress being made at the edge, with sensors and speedy ARM chips collecting and processing massive amounts of data, and you have the makings of a computing revolution. While the computing possibilities in the cloud and on the edge may appear bountiful, the reality is that the underlying architectures for building apps that can span these three modes are just starting to come together. Enterprises today face a dearth of repeatable patterns to guide their developers, administrators, and architects, who are tasked with building, deploying and maintaining hybrid that span not just the cloud and the edge, but traditional on-prem data centers too. Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs

Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs

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