Layers of Single-Pane-of-Glass Abstractions Won’t Solve Your Problems
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We’ve been told for years how we’re over-complicating networking, and how the software-defined or intent-based whatever will remove all that complexity and remove the need for networking engineers.
What never ceases to amaze me is how all these software-defined systems are demonstrated: each one has a fancy GUI that looks great in PowerPoint and might even work in practice assuming you’re doing exactly what they demonstrated… trying to be creative could result in interesting disasters.
Read more ...Progressive growing of GANs for improved quality, stability, and variation
Progressive growing of GANs for improved quality, stability, and variation Karras et al., ICLR’18
Let’s play “spot the celebrity”! (Not your usual #themorningpaper fodder I know, but bear with me…)
In each row, one of these is a photo of a real person, the other image is entirely created by a GAN. But which is which?
The man on the left, and the woman on the right, are both figments of a computer’s imagination.
In today’s paper, Karras et al. demonstrate a technique for producing high-resolution (e.g. 1024×1024) realistic looking images using GANs:
The key idea is to grow both the generator and discriminator progressively: starting from a low resolution, we add new layers that model increasingly fine details as training progresses. This both speeds the training up and greatly stabilizes it, allowing us to produce images of unprecedented quality.
You can find all of the code, links to plenty of generated images, and videos of image interpolation here: https://github.com/tkarras/progressive_growing_of_gans. This six-minute results video really showcases the work in a way that it’s hard to describe without seeing. Well worth the time if this topic interests you.
Progression
Recall that in a GAN setup we pitch a Continue reading
IBM Rounds Out Power9 Systems For HPC, Analytics
Back in the early 1990s, when IBM has having its near-death experience as the mainframe business faltered, Unix systems were making huge inroads into the datacenter, and client/server computing was pulling work off central systems and onto PCs, the company was on the ropes and probably close to bankruptcy. At the time, the Wall Street Journal ran a central A1 column story, where a bunch of CIOs who were unhappy with Big Blue were brutally honest about how they felt.
One of them – and we have never been able to forget this quote – who had moved to other …
IBM Rounds Out Power9 Systems For HPC, Analytics was written by Timothy Prickett Morgan at The Next Platform.
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Cycle Pedals Bare Metal Container Orchestrator as Kubernetes Alternative
The barebones platform is available through Packet's bare metal compute, network, and storage resources.
Savvius Upgrades Spotlight Network Performance Monitoring Appliance
Savvius upgrades its Spotlight appliance to monitor network and application performance in real time, including custom and SaaS applications.Headcount: The Latest in Hirings, Firings, and Retirings — May 9, 2018
Orange Business Services names a new CEO; Andy Elder becomes Riverbed’s new chief sales officer; and a former Coriant CEO returns.
New Relic Boasts 34% Revenue Increase in Fiscal Q4 2018
The monitoring company’s four-year-old enterprise business continues to grow based on new innovations, customer wins, and integrations.