S ocial 1857, Fog Computing and Twisted Networks
Here’s the news we’re talking about around the Zbra Studios water cooler. We’ve provided key bullet points from each article for the speed readers out there.
Social Media in 1857
By Adrienne LaFrance of The Atlantic
- “Today, revisiting first impressions of The Atlantic isn’t just a reminder of its storied journalistic roots, but a throwback to a vastly different landscape—a time of steamers and horses, yes, and also printing presses and telegraphs.”
- “Smack-dab in the middle of the page is a feed of bite-size information—including incomplete descriptions of events. It was, as The Times described it, the ‘latest intelligence by telegraph.’ But what it looks like today is a static, old-timey kind of Twitter—a disjointed report of events, of varied magnitude, from disperse geographic locations.”
- “In plenty of ways, 160 years is a long, long time. In others, it wasn’t so long ago at all.”
Forget the cloud. Computing is heading into the fog
By Bob O’Donnell From Recode
- “The basic idea of fog computing is to leverage the key new software technologies, processes and applications built to take advantage of cloud computing infrastructure, but deployed on computing hardware closer to the edge of the network. Thus, it’s about bringing the cloud close to the ground — hence ‘fog.’”
- “Issues such as latency (small time delays), security, network reliability, performance, privacy and many others are extremely difficult to completely overcome in centralized cloud computing models. As a result, companies are both reshaping and reworking traditional data center computing components, as well as building completely new types of hardware, to bring computing elements that previously only existed within the cloistered confines of data centers out to new types of devices and new types of environments.”
- “Even with all these interesting efforts, we aren’t going to see traditional cloud, network, data center or common endpoints going away. These new fog computing efforts are typically created in addition to these still-critical infrastructure elements, sometimes through the use of small fog nodes.”
Google’s AI Wizard Unveils a New Twist on Neural Networks
By Tom Simonite From Wired
- “Hinton’s new approach, known as capsule networks, is a twist on neural networks intended to make machines better able to understand the world through images or video.”
- “Capsules—small groups of crude virtual neurons—are designed to track different parts of an object, such as a cat’s nose and ears, and their relative positions in space. A network of many capsules can use that awareness to understand when a new scene is in fact a different view of something it has seen before.”
- “It’s too early to say how big a leap Hinton has made—and he knows it. The AI veteran segues from quietly celebrating that his intuition is now supported by evidence, to explaining that capsule networks still need to be proven on large image collections, and that the current implementation is slow compared to existing image-recognition software.”
Nick Cotton is a project manager based out of Los Angeles, California. He’s got a background in the entertainment industry, and uses his talent at online messaging to extol the virtues of content marketing, interactive fiction and sentences measuring 280 characters or less.
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