Jun 30

An anonymous reader quotes the New York Times:
We’ve hit what I call Peak Screen. For much of the last decade, a technology industry ruled by smartphones has pursued a singular goal of completely conquering our eyes. It has given us phones with ever-bigger screens and phones with unbelievable cameras, not to mention virtual reality goggles and several attempts at camera-glasses. Tech has now captured pretty much all visual capacity. Americans spend three to four hours a day looking at their phones and about 11 hours a day looking at screens of any kind.

So tech giants are building the beginning of something new: a less insistently visual tech world, a digital landscape that relies on voice assistants, headphones, watches and other wearables to take some pressure off our eyes. This could be a nightmare; we may simply add these new devices to our screen-addled lives. But depending on how these technologies develop, a digital ecosystem that demands less of our eyes could be better for everyone — less immersive, less addictive, more conducive to multitasking, less socially awkward, and perhaps even a salve for our politics and social relations. Who will bring us this future? Amazon and Google are clearly big players, but don’t discount the company that got us to Peak Screen in the first place. With advances to the Apple Watch and AirPods headphones, Apple is slowly and almost quietly creating an alternative to its phones… If it works, it could change everything again.

Warning that screens are insatiable vampires for your attention, the piece argues we should be using our phones more mindfully — and exploring “less immersive ways to interact with the digital world” like Google and Amazon voice assisants.
“The sooner we find something else, the better.”

Read more of this story at Slashdot.

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Jun 30

An anonymous reader quotes Reuters:
Bitcoin’s value slid to its lowest level since November on Friday, as waning investor interest and recent negative headlines from global regulators weakened demand for the cryptocurrency and most of its rivals. Virtual currencies, including the best-known and biggest, bitcoin, have been stuck in a downward trend for most of 2018 after last year’s frenzied interest fizzled. Recent hacks and the “cyber intrusion” of cryptocurrency exchanges in key Asian markets has also encouraged investors to exit.

Bitcoin fell to as low as $5,774 on the Bitstamp exchange, the lowest since November 12… So far in 2018, bitcoin has tumbled almost 60 percent after soaring more than 1,300 percent last year. It is now down 70 percent from its December peak… The total market capitalization of cryptocurrencies has fallen to around $230 billion from a peak of around $800 billion in January.

Will Hobbs, Head of Investment Strategy at Barclays Smart Investor, now tells Reuters that “None of the crypto currencies currently fulfill any of the criteria that we would look for in an investible asset, and we would continue to advise extreme caution. The rout in crypto currencies is still not finished.”

Read more of this story at Slashdot.

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Jun 30

Bill Schmarzo, Tech Chair of “Big Data | Analytics” of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. “The track has been designed in experience/degree order,” said Schmarzo. “So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I’m doing at the University of San Francisco which creates an “Outcomes-Centric Business Analytics” degree.”

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science” is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization’s digital transformation strategy.

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Jun 30

Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.

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Jun 30

Researchers from Google’s DeepMind subsidiary have developed deep neural networks that “have a remarkable capacity to understand a scene, represent it in a compact format, and then ‘imagine’ what the same scene would look like from a perspective the network hasn’t seen before,” writes Timothy B. Lee via Ars Technica. From the report: A DeepMind team led by Ali Eslami and Danilo Rezende has developed software based on deep neural networks with these same capabilities — at least for simplified geometric scenes. Given a handful of “snapshots” of a virtual scene, the software — known as a generative query network (GQN) — uses a neural network to build a compact mathematical representation of that scene. It then uses that representation to render images of the room from new perspectives — perspectives the network hasn’t seen before.

Under the hood, the GQN is really two different deep neural networks connected together. On the left, the representation network takes in a collection of images representing a scene (together with data about the camera location for each image) and condenses these images down to a compact mathematical representation (essentially a vector of numbers) of the scene as a whole. Then it’s the job of the generation network to reverse this process: starting with the vector representing the scene, accepting a camera location as input, and generating an image representing how the scene would look like from that angle. The team used the standard machine learning technique of stochastic gradient descent to iteratively improve the two networks. The software feeds some training images into the network, generates an output image, and then observes how much this image diverged from the expected result. […] If the output doesn’t match the desired image, then the software back-propagates the errors, updating the numerical weights on the thousands of neurons to improve the network’s performance.

Read more of this story at Slashdot.

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Jun 29

Cloud Daddy , a secure AWS-native data protection solution, announced today that its one-of-a-kind product offering is now available on the AWS… Read more at VMblog.com.

Jun 29

Last week, I had the pleasure of once again being invited to attend the now 4 th annual Zenoss GalaxZ 2018 User Conference which took place in my… Read more at VMblog.com.

Jun 29

The now mainstream platform changes stemming from the first Internet boom brought many changes but didn’t really change the basic relationship between servers and the applications running on them. In fact, that was sort of the point.
In his session at 18th Cloud Expo, Gordon Haff, senior cloud strategy marketing and evangelism manager at Red Hat, will discuss how today’s workloads require a new model and a new platform for development and execution. The platform must handle a wide range of recent developments, including containers and Docker, distributed resource management, and DevOps tool chains and processes. The resulting infrastructure and management framework must be optimized for distributed and scalable applications, take advantage of innovation stemming from a wide variety of open source projects, span hybrid environments, and be adaptable to equally fundamental changes happening in hardware and elsewhere in the stack.

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Jun 29

Kubernetes , a container orchestration and cloud-native application infrastructure platform, was originally developed by Google but has since become… Read more at VMblog.com.

Jun 29

A Private Cloud with a Premium Experience The simplicity of the public cloud, on-premises with exceptional support and a marketplace of essential… Read more at VMblog.com.

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