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JN0-360 - Juniper Networks Certified Internet(R) Specialist SP - Dump Information

Vendor : Juniper
Exam Code : JN0-360
Exam Name : Juniper Networks Certified Internet(R) Specialist SP
Questions and Answers : 354 Q & A
Updated On : October 15, 2018
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JN0-360 Juniper Networks Certified Internet(R) Specialist SP

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JN0-360 exam Dumps Source : Juniper Networks Certified Internet(R) Specialist SP

Test Code : JN0-360
Test Name : Juniper Networks Certified Internet(R) Specialist SP
Vendor Name : Juniper
Q&A : 354 Real Questions

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Juniper Juniper Networks Certified Internet(R)

Neuton: a brand new, disruptive neural community framework for AI purposes | killexams.com Real Questions and Pass4sure dumps

This doesn't turn up often. Deep researching is the most popular know-how nowadays, with countless purposes and deep funding from the commonplace suspects. To have anything new released from somebody who isn't among the GAFAs of the world, and claims to be radically better in every method, is bound to lift some eyebrows.

That changed into our response too, after we have been approached through Bell Integrator about Neuton a pair months back. Neuton is a neural community framework, which Bell Integrator claims is way more useful than any other framework and non-neural algorithm purchasable available on the market.

also: Nvidia aims to run neural nets sooner, greater successfully

anyway being quicker, according to launched benchmarks, Bell Integrator says Neuton is an Auto ML answer with resulting models which are self-growing to be and discovering. And, to appropriate that off, says Bell Integrator, Neuton is so easy to use that no particular AI background is needed.

computing device getting to know October fest

on the time, it become lots easier to disbelieve all that, as there become now not a lot to exhibit for, besides some outstanding benchmarks and a release date set for November. today, including to the computing device gaining knowledge of October fest, and potentially caused by using it, Neuton is officially released.

during the past few days, we've considered a new free up of PyTorch, one of the vital leading neural network frameworks by way of facebook, as well as a new entry by fast.ai. we've also viewed MLflow, a meta-framework through Databricks, getting nearer to edition 1.0.

Now, let's are trying and shed some gentle on where Neuton is coming from, how does it work, and what does all of it suggest. Let's delivery with the vendor behind this, which is a private world consulting and expertise services company that has been around on account that 2003.

Bell Integrator has over 2,500 employees in 10 places and lists names akin to Ericsson, Cisco, Century hyperlink, Juniper, Citibank, Deutsche financial institution, and Societe Generale as its clients. after we requested in regards to the team at the back of Neuton, we did not get any names you might appreciate.

also: Alibaba neural community defeats human in global analyzing examine

Blair Newman, Bell Integrator CTO, pointed out this was delivered with the aid of a team of scientists amassing more than seven hundred years mixed event as scientific researchers while efficaciously fixing complex algorithmic complications in augmented truth, synthetic intelligence, neural networks, desktop learning, video analytics, information superhighway of things, and blockchain.

we can only speculate as to how Neuton got here to be. Its facets, youngsters, look reasonably impressive, pretty much too good to be authentic. If nothing else, Neuton has now not been on the radars even of people who reside and breathe computer gaining knowledge of. after we requested Soumith Chintala, the fb researcher who's leading PyTorch for a comment on Neuton, his reply was that he turned into now not aware of it, even though he displays the field intently.

neutonhires.jpg

"Disruptive" is an overused term, but for this neural community framework, it just may be proper. (picture: Bell Integrator)

Neuton, says Bell Integrator, is self-transforming into and learning: There is no need to work on layers and neurons; simply prepare a dataset, and a mannequin could be grown instantly. And the model additionally wants fewer practicing samples.

besides benchmarks, now you can download these models and spot for your self, says Bell Integrator. The models are noted to be 10- to 100-times smaller and faster than these constructed with existing frameworks and non-neural algorithms, while additionally using 10- to one hundred-times much less in neurons.

additionally: Deep learning: The hobby is greater than latent

No overfitting, a long way fewer absolute and relative error in the validation samples, better accuracy, and Auto ML -- no need for a scientific or AI heritage. best primary technical expertise required. And, in case you are not puzzled enough yet, here's a further issue: In Neuton's FAQ, it's outlined that the first unlock should be devoid of CNN/RNN (convolutional/recurrent neural networks).

To neural network or now not to neural community?

What does this all suggest? Is Neuton a neural network, or now not? Does it require practicing, or no longer? Newman observed that although CNN/RNN help is not covered in the initial free up, Neuton is a neural network that easily solves Regression and Classification issues. It does want practicing, despite the fact training samples are smaller in comparison to different algorithms.

also: Intel unveils the Nervana Neural network Processor

The resulting fashions are delivered in the hdf5 layout, which is open supply and might be used via the vast majority of modern programming languages and frameworks, together with Keras. Hdf5 is supported via Python, Java, R, and so forth. there is additionally assist for a able to use leisure API carrier, and for GPUs.

Newman observed:

"Neuton is an unbiased components of machine getting to know, it is our proprietary development. Neuton's workflow is very handy and contains just a few steps.

in the first step a consumer uploads their statistics. in the second step, they specify which information to use for training and which to use for validation. on the third step, they choose a metric for their assignment and criteria for training to cease. After the training is comprehensive, we allow the user to be sure in its accuracy, forecasting the outcomes on unknown records. on the final step, the person can choose a way to use the mannequin.

We give the alternative of downloading the model or internet hosting it in the cloud. For big enterprise purchasers who do not feel at ease in uploading their records to a public cloud we roll-out the model on premises.

Neuton's model can be used both as a standalone solution or to construct an ensemble of various algorithms. models according to Neuton can automatically be rolled out as a relaxation-API provider in a single click. they can even be downloaded with a code pattern for local use in Python."

neutonbenchmarks.jpg

neutonbenchmarks.jpg

some of Neuton's benchmark results. Taken at face price: Neuton can do greater with much less -- more advantageous accuracy, with less training data. (photograph: Bell Integrator)

How is this possible? And what's with these benchmarks? Are the requirements of the benchmarks purchasable? Can third parties reproduce the results? Do they consist of practicing and inference? Why are some consequences measured for Neuton single models, and others for ensemble too?

Newman explained:

"thanks to our proprietary algorithm and disruptive computing device researching technology, fashions developed on Neuton are tremendous compact, that means that they consist of pretty few neurons and coefficients. The exact algorithm is our IP, hence, we cannot reveal it. Neuton consequences were in comparison towards Caffe2, Tensor stream+Keras, CNTK, Torch, Theano. those networks confirmed very identical results.

additionally: quickly.ai's utility could radically democratize AI

Newman went on to clarify that, to store display area, on the benchmark tables they demonstrate Keras with TensorFlow backend as well as non-neural strategies, such as all typical algorithms xgboost, catboost, linear/logistic regression, random forest, etc.

He pointed out:

"The consequences are also reproducible by using third events, and the trained models in conjunction with datasets and TensorFlow configuration used may also be downloaded from the website for offline use. we've validated Neuton's future releases features.

We performed just a few experiments that prove that the usage of Neuton's fashions in ensemble dramatically increase consequences of the only mannequin. We used these consequences in assessment with some common algorithms which are ensembles themselves (xgb, random forest, etc)."

To Neuton or now not to Neuton?

Technically, we can't say whether Neuton does Deep getting to know or no longer, on the grounds that we do not know its internal architecture. however that does not exchange the incontrovertible fact that all this sounds stunning. efficiency, however, isn't every little thing. How does Neuton stack up against the tried-and-true champions and the newest and gold standard PyTorch and quick.ai?

additionally: Google brain, Microsoft plumb the mysteries of networks with AI

Newman referred to:

"unlike Neuton, PyTorch and speedy.ai require some coding and the abilities of neural community architectures, which potential that our goal viewers is much wider and model setup time shorter, regardless of degree of talents.

We additionally offer our users all integral infrastructure elements including storage for person data and models, virtual machines with GPU for working towards, digital machines for rolling out in the cloud, in the meantime simultaneously empowering commercial enterprise shoppers to make use of Neuton on their premise the place favored.

From the efficiency and effectiveness perspective the brand new libraries mentioned above are nonetheless the identical and do not have an effect on our benchmarks."

neutonimage.jpg

neutonimage.jpg

Neuton has been named after Sir Isaac Newton, trying to attract a parallel with Newton's work. (photograph: Bell Integrator)

Newman delivered:

"Neuton makes AI obtainable to everybody and augments human ingenuity, so that they can have a transformative influence on economic climate, each industry, scientific breakthroughs, and the quality of our and future generations conventional existence via wider usage and adoption of artificial intelligence.

We trust that intelligence makes the world a far better vicinity."

Newman went on to supply some history as to Neuton's naming. Neuton is a wordplay on neural networks, and Sir Isaac Newton, who believed that intelligence makes the area an improved area.

it will be challenging to argue otherwise. however the precise query right here is: should you forget about every thing else and start constructing your subsequent AI models on Neuton? smartly, probably no longer so quickly.

obviously, some experimentation is required, and Bell Integrator is hoping it will entice adequate attention to as a minimum tempt americans to supply Neuton a try. but supposing all of this works as promised, what subsequent?

also: Meet the weird D&D creatures made by a neural community CNET

Bell Integrator's company mannequin for Neuton isn't clear to us, as we didn't get an express reply to our request for comment. Neuton is proprietary, that a whole lot is definite, but how plenty it's going to can charge to use this, and on what terms, we do not know at this factor.

here is in mind-blowing contrast to pretty a good deal each other framework obtainable, which is open supply. Of route, open supply does not imply free, and everybody has their causes for going the open supply way. within the conclusion, even if you get to use computing device discovering frameworks without charge, storage and compute you're going to should pay for, so having an open-source framework is a good way for cloud suppliers to entice income.

Of route, Neuton will also want storage and compute resources to work, although it's plenty much less of it. So, from an economics element of view, it comes all the way down to doing math on a per case groundwork: Will the cost of using Neuton be justified via the reduced can charge in elements required to use it?

we are able to even have to peer how Neuton pans out from a usability and support standpoint. On paper, API and language help look first-rate, however we are going to have to wait to it see it in observe, specially relating to the "no event integral" claim. Plus, a consulting enterprise like Bell Integrator may also now not be used to, or ready for, coping with massive requests for help. a few of Neuton's operational modes aren't completely purposeful at this aspect, too.

after all, if need for speed is your No. 1 requirement, Neuton is definitely price a glance. It will be wonderful to look how this may impact development in laptop gaining knowledge of.

outdated and linked insurance:

what's AI? every thing you need to understand

An executive guide to synthetic intelligence, from computing device studying and customary AI to neural networks.

what's deep learning? every little thing you should understand

The lowdown on deep gaining knowledge of: from how it relates to the broader field of computing device gaining knowledge of via to the way to get all started with it.

what's machine gaining knowledge of? every thing you should comprehend

This e book explains what machine studying is, the way it is involving synthetic intelligence, the way it works and why it matters.

what's cloud computing? everything you deserve to find out about

An introduction to cloud computing correct from the basics up to IaaS and PaaS, hybrid, public, and private cloud.

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  • world networking door entry systems market competition evaluation with the aid of key gamers.
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  • class and software (2017-2021)
  • construction reputation and outlook.
  • Market forecast by means of regions, classification, and software.
  • global networking door access methods market dynamics.
  • Market effect components evaluation
  • research discovering/conclusion.
  • Appendix.
  • This email address is being protected from spambots. You want JavaScript enabled to view it.


    international IoT expertise Market 2018-2023: mixed Market will attain $869.9B USD | killexams.com Real Questions and Pass4sure dumps

    DUBLIN, Sept. 18, 2018 /PRNewswire/ --

    The "IoT technology by means of component, Infrastructure, software, Platform, application, provider, and business Verticals 2018 - 2023" report has been brought to ResearchAndMarkets.com's offering.

    The combined global IoT expertise market will reach $869.9B USD through 2023

    cyber web of things (IoT) networks and methods include significant array of hardware, application and firmware aspects including semiconductors and embedded instruments, structures, and a lot of kinds of utility classes and working techniques. related IoT features such as equipment integration and facts management allow optimized deployment in addition to effective and useful ongoing operations.

    there's a global race among enterprise and governments to abruptly installation IoT technologies for various motives corresponding to automation of physical infrastructure, far off management and monitoring, and predictive insights. At its core, IoT is intended to optimize asset management, work movement, and methods. moreover, IoT offers a wealth of assistance, which is derived generally from processing machine-generated information by way of artificial intelligence and superior information analytics software.

    This document represents essentially the most comprehensive analysis protecting core IoT hardware, utility, and firmware in addition to aiding applied sciences akin to synthetic Intelligence and cell side Computing. The record evaluates leading carriers, products, and capabilities choices. The quantitative element of the document offers unique forecasts for the international and regional IoT know-how market for 2018 to 2023. The file additionally includes specific business options in key areas comparable to synthetic intelligence hardware, utility and features.

    choose document Findings:

  • The APAC area will lead the IoT know-how market via 2023
  • Over 87 billion semiconductors and embedded contraptions may be shipped in guide of IoT by using 2023
  • The convergence of AI, 5G, Blockchain, and aspect Computing with IoT helps a multi-billion dollar market
  • file advantages:

  • remember cloud computing in IoT together with MEC
  • identify leading IoT hardware, application, and repair providers
  • determine IoT technology accessories and their function inside IoT ecosystem
  • consider IoT technology convergence with AI, aspect Computing, 5G, and Blockchain
  • determine market opportunities globally, regionally, and by business vertical for IoT technology
  • target viewers:

  • AI groups
  • IoT agencies
  • Robotics businesses
  • Semiconductor carriers
  • records management vendors
  • Industrial automation groups
  • Governments and R&D businesses
  • organizations throughout all industry verticals
  • Key subject matters lined:

    1 Introduction1.1 government Summary1.2 research Objectives1.3 opt for Findings1.4 goal Audience1.5 corporations within the document

    2 Overview2.1 Defining the cyber web of Things2.2 IoT Technology2.three IoT useful Structure2.four IoT network Architecture2.5 financial impact Analysis2.6 Market components and Challenges2.7 artificial Intelligence and laptop Learning2.eight edge Computing and Fog Computing2.9 Digital Twin Technology2.10 5G IoT Network2.eleven Blockchain Technology2.12 Cloud Computing2.13 cyber web of Nanoscale issues (IoNT)

    3 expertise and cost Chain Analysis3.1 IoT Semiconductor constructing Blocks3.1.1 instant Sensors3.1.2 IoT Processors3.1.3 Gateway3.1.4 Application3.2 IoT Chipsets3.three community know-how and Protocol3.four precise Time working system (RTOS)3.four.1 Open supply RTOS3.4.2 industrial RTOS3.four.three allotted flow Computing systems (DSCPs)three.5 IoT utility and Platform3.5.1 IoT Analytics3.5.2 IoT Security3.5.three IoT gadget Management3.5.4 IoT commonplace and API Interoperability3.6 IoT industry Application3.7 IoT value Chain Analysis3.7.1 IoT Hardware device Providers3.7.2 IoT element Providers3.7.three IoT Platform Providers3.7.4 IoT application and repair Providers3.eight IoT Investments and Market Alliances3.9 position of mobile network Operators

    four IoT expertise Market analysis and Forecasts 2018 - 20234.1 global IoT expertise Market 2018 - 20234.1.1 combined IoT technology Market4.1.2 IoT expertise Market with the aid of Segment4.1.3 IoT know-how Market by Hardware Segment4.1.four IoT expertise Market by way of Software4.1.5 IoT expertise Market by Service4.1.6 IoT know-how Market with the aid of Industry4.1.7 IoT know-how Market with the aid of IoT Sector4.2 international AI geared up IoT expertise Market 2018 - 20234.2.1 AI geared up IoT know-how Market4.2.2 AI fitted IoT technology Market by means of Segment4.2.three AI equipped IoT know-how Market via AI Technology4.2.4 AI equipped IoT know-how Market through IoT Sector4.three international 5G driven IoT expertise Market 2018 - 20234.3.1 5G driven IoT technology Market4.three.2 5G driven IoT know-how Market by Segment4.three.three 5G driven IoT expertise Market by way of IoT Sector4.four global aspect Computing Enabled IoT expertise Market 2018 - 20234.four.1 part Computing Enabled IoT know-how Market4.four.2 aspect Computing Enabled IoT know-how Market by way of Segment4.4.three area Computing Enabled IoT expertise Market by using IoT Sector4.5 world Blockchain based mostly IoT technology Market 2018 - 20234.5.1 Blockchain based mostly IoT technology Market4.5.2 Blockchain based mostly IoT expertise Market via Segment4.5.three Blockchain based IoT expertise Market by means of IoT Sector4.6 Regional IoT expertise Market 2018 - 20234.6.1 IoT technology Market by way of Region4.6.2 APAC IoT expertise Market with the aid of Node part, Infrastructure, software, provider, trade Vertical, AI know-how, 5G, part Computing, Blockchain, and Country4.6.three North the us IoT know-how Market by using Node element, Infrastructure, application, carrier, business Vertical, AI technology, 5G, area Computing, Blockchain, and Country4.6.4 Europe IoT know-how Market by using Node element, Infrastructure, software, carrier, business Vertical, AI expertise, 5G, area Computing, Blockchain, and Country4.6.5 center East and Africa IoT know-how Market through Node component, Infrastructure, utility, provider, trade Vertical, AI know-how, 5G, part Computing, Blockchain, and Country4.6.6 Latin the us IoT know-how Market by Node part, Infrastructure, application, service, trade Vertical, AI know-how, 5G, area Computing, Blockchain, and Country4.6.7 IoT expertise Market by using properly Ten Country4.7 IoT Semiconductor Unit shipment Forecasts 2018 - 20234.7.1 total IoT Semiconductor Unit Shipment4.7.2 IoT Semiconductor Unit cargo with the aid of Segment4.7.three IoT Semiconductor Unit cargo with the aid of Region4.8 IoT application Unit Deployment Forecasts 2018 - 20234.eight.1 total IoT application Unit Deployment4.8.2 IoT utility Unit Deployment by way of Segment4.8.3 IoT application Unit Deployment via vicinity

    5 business Analysis5.1 NVIDIA Corporation5.2 IBM Corporation5.three Intel Corporation5.4 Samsung Electronics Co Ltd.5.5 Microsoft Corporation5.6 Google Inc.5.7 Qualcomm Incorporated5.8 Huawei technologies Co. Ltd.5.9 Fujitsu Ltd.5.10 Juniper Networks, Inc.5.eleven Nokia Corporation5.12 ARM Limited5.13 Hewlett Packard commercial enterprise (HPE)5.14 Oracle Corporation5.15 SAP5.16 familiar electric powered (GE)5.17 Wind River systems Inc.5.18 Cumulocity GmBH5.19 SparkCognition Inc.5.20 Amazon Inc. (AWS)5.21 Cisco Systems5.22 Atmel Corporation5.23 Texas devices Inc.5.24 superior Micro contraptions (AMD) Inc.5.25 XILINX Inc.5.26 Gemalto N.V.5.27 Micron Technology5.28 SAS Institute Inc.5.29 prevalent vision Inc.5.30 PTC Corporation5.31 Analog gadgets Inc.5.32 Cypress Semiconductor Corp5.33 Rohm Semiconductor5.34 Semtech Corporation5.35 Enea AB5.36 express good judgment Inc.5.37 Kaspersky Lab5.38 Losant IoT Inc.5.39 Thethings.io5.forty Robert Bosch GmbH5.forty one Echelon Corporation5.42 Symantec Corporation5.43 NXP Semiconductors N.V.5.forty four STMicroelectronics5.45 MediaTek Inc.5.forty six Microchip expertise Inc.5.47 Renesas Electronics Corporation5.forty eight Ayla Networks Inc.5.49 Pepper5.50 Helium systems Inc.

    6 Conclusions and Recommendations6.1 Advertisers and Media Companies6.2 artificial Intelligence Providers6.3 automobile Companies6.4 Broadband Infrastructure Providers6.5 communique provider Providers6.6 Computing Companies6.7 facts Analytics Providers6.8 device (AR, VR, and MR) Providers6.9 Networking gadget Providers6.10 Networking security Providers6.11 Semiconductor Companies6.12 IoT Suppliers and repair Providers6.13 application Providers6.14 sensible metropolis device Integrators6.15 Automation system Providers6.sixteen Social Media Companies6.17 workplace solution Providers6.18 business and executive

    For more suggestions about this document consult with https://www.researchandmarkets.com/research/xknlbs/global_iot?w=5

    do you know that we also present customized research? discuss with our custom research web page to learn extra and time table a gathering with our customized analysis supervisor.

    Media Contact:

    analysis and MarketsLaura timber, Senior manager[email protected]

    For E.S.T workplace Hours call +1-917-300-0470For U.S./CAN Toll Free call +1-800-526-8630For GMT workplace Hours call +353-1-416-8900

    U.S. Fax: 646-607-1907Fax (backyard U.S.): +353-1-481-1716

    Cision View fashioned content:http://www.prnewswire.com/information-releases/global-iot-expertise-market-2018-2023-combined-market-will-attain-869-9b-usd-300714723.html

    source analysis and Markets

    Copyright 2014 PR Newswire. All Rights Reserved

    connected key words:workplace gadget,safety,Networking,laptop technology,internet,business issues,Hardware,Cloud Computing,mobile instruments,safety,Social Media,Social network,infrastructure,administration,Africa, Inc.,HP,enterprise,Science,web know-how,laptop Science,cyber web,

    source:PR Newswire. All Rights Reserved


    JN0-360 Juniper Networks Certified Internet(R) Specialist SP

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    Scientists create purple-winged butterflies in six generations | killexams.com real questions and Pass4sure dumps

    After six generations of artificial selection, Bicyclus anynana developed violet ground scales in its wings while the cover scales remained brown. Credit: Antónia Monteiro (Phys.org) —Scientists have used selective breeding to create purple wings on the normally brown-winged butterfly Bicyclus anynana. Antonia Monteiro and her colleagues selected butterflies with wing scales that reflected light closest to the wavelengths that produce the color violet and bred them. After six generation of breeding, the researchers produced butterflies with wings that had changed structurally to reflect violet light. The research appears in the Proceedings of the National Academy of Sciences.

    Living things can produce color chemically or structurally. Those that produce chemical color create pigments that absorb certain wavelengths of light and reflect others. Organisms that produce structural color experience changes in their bodies, at the nanoscale level, that enhance the reflection of particular wavelengths.

    Butterfly wings have structural color. To understand how this color evolves, Monteiro and her team selectively bred B. anynana, a butterfly that normally has brown wings, in an attempt to create purple wings. Two close relatives of this butterfly, B. sambulos and B. medontias, have purple scales on the backs of their front wings. However, until now, no one has ever reported seeing any purple-winged B. anynana.

    To create purple wings, the team measured the wavelengths of light reflected from the wings of B. anynana specimens. They then selected and bred those butterflies whose wings reflected light closest to the violet spectrum. They performed this process six times in eight consecutive generations. As the breeding process continued, reflected wavelengths moved further toward the violet spectrum. By the sixth time, the butterflies had purple wings.

    The butterfly Bicyclus anynana before artificial selection to alter wing color. Credit: William Piel.The butterfly Bicyclus medontias displays violet-colored wing scales that evolved through natural selection. Credit: Antónia Monteiro When the researchers examined the wings that had changed color, they discovered that the thickness of some of the scales had changed. This altered the wavelengths of light the wings reflected. They studied the wings of B. sambulos and B. medontias, which naturally have wings that reflect violet light, and found that some of their wing scales were similar in thickness to those that had changed in the purple-winged B. anynana. However, the types of scales that reflected violet light in B. sambulos and B. medontias were different from the type of scale that had changed in B. anynana.

    Monteiro's team believe their experiment shows that butterfly wing colors can evolve very quickly and that natural selection could play an important role in the development of wing color. For example, butterflies could use wing color to identify other butterflies of the same species or to influence mate choice.

    Bicyclus anynana before (left) and after (right) artificial selection efforts to produce butterflies with violet wing scales. After selective breeding, the butterflies displayed more violet color in the ground scales of their wings. Credit: Antónia Monteiro

    The team says engineers could use these findings when designing devices that tune color, trap light or steer light beams.

    Explore further: Deciphering butterflies' designer colors: Findings could inspire new hue-changing materials

    More information: Artificial selection for structural color on butterfly wings and comparison with natural evolution, PNAS, Bethany R. Wasik, DOI: 10.1073/pnas.1402770111

    AbstractBrilliant animal colors often are produced from light interacting with intricate nano-morphologies present in biological materials such as butterfly wing scales. Surveys across widely divergent butterfly species have identified multiple mechanisms of structural color production; however, little is known about how these colors evolved. Here, we examine how closely related species and populations of Bicyclus butterflies have evolved violet structural color from brown-pigmented ancestors with UV structural color. We used artificial selection on a laboratory model butterfly, B. anynana, to evolve violet scales from UV brown scales and compared the mechanism of violet color production with that of two other Bicyclus species, Bicyclus sambulos and Bicyclus medontias, which have evolved violet/blue scales independently via natural selection. The UV reflectance peak of B. anynana brown scales shifted to violet over six generations of artificial selection (i.e., in less than 1 y) as the result of an increase in the thickness of the lower lamina in ground scales. Similar scale structures and the same mechanism for producing violet/blue structural colors were found in the other Bicyclus species. This work shows that populations harbor large amounts of standing genetic variation that can lead to rapid evolution of scales' structural color via slight modifications to the scales' physical dimensions.

    © 2014 Phys.org


    Acceptable Bigotry and Scapegoating of Russia | killexams.com real questions and Pass4sure dumps

    Exclusive: The scapegoating of Russia has taken on an air of bigotry and ugliness, based largely on Cold War-era stereotypes. In this article, Natylie Baldwin counters this intolerance with some of her positive impressions having traveled the country extensively.

    By Natylie Baldwin

    Over the last year and a half, Americans have been bombarded with the Gish Gallop claims of Russiagate. In that time, the most reckless comments have been made against the Russians in service of using that country as a scapegoat for problems in the United States that were coming to a head, which were the real reasons for Donald Trump’s upset victory in 2016.  It has even gotten to the point where irrational hatred against Russia is becoming normalized, with the usual organizations that like to warn of the pernicious consequences of bigotry silent.

    The first time I realized how low things would likely get was when Ruth Marcus, deputy editor of the Washington Post, sent out the following tweet in March of 2017, squealing with delight at the thought of a new Cold War with the world’s other nuclear superpower: “So excited to be watching The Americans, throwback to a simpler time when everyone considered Russia the enemy. Even the president.”

    Not only did Marcus’s comment imply that it was great for the U.S. to have an enemy, but it specifically implied that there was something particularly great about that enemy being Russia.

    Since then, the public discourse has only gotten nastier. Former Director of National Intelligence James Clapper – who notoriously perjured himself before Congress about warrantless spying on Americans – stated on Meet the Press last May that Russians were uniquely and “genetically” predisposed toward manipulative political activities.  If Clapper or anyone else in the public eye had made such a statement about Muslims, Arabs, Iranians, Jews, Israelis, Chinese or just about any other group, there would have been some push-back about the prejudice that it reflected and how it didn’t correspond with enlightened liberal values. But Clapper’s comment passed with hardly a peep of protest.

    More recently, John Sipher, a retired CIA station chief who reportedly spent years in Russia – although at what point in time is unclear – was interviewed in Jane Mayer’s recent New Yorker piece trying to spin the Steele Dossier as somehow legitimate. On March 6, Sipher took to Twitter with the following comment: “How can one not be a Russophobe? Russia soft power is political warfare. Hard power is invading neighbors, hiding the death of civilians with chemical weapons and threatening with doomsday nuclear weapons. And they kill the opposition at home. Name something positive.”

    In fairness to Sipher, he did backpedal somewhat after being challenged; however, the fact that his unfiltered blabbering reveals such a deep antipathy toward Russians (“How can one not be a Russophobe?”) and an initial assumption that he could get away with saying it publicly is troubling.

    Glenn Greenwald re-tweeted with a comment asking if Russians would soon acceptably be referred to as “rats and roaches.”  Another person replied with: “Because they are rats and roaches. What’s the problem?”

    This is just a small sampling of the anti-Russian comments and attitudes that pass, largely unremarked upon, in our media landscape.

    There are, of course, the larger institutional influencers of culture doing their part to push anti-Russian bigotry in this already contentious atmosphere. Red Sparrow, both the book and the movie, detail the escapades of a female Russian spy. The story propagates the continued fetishization of Russian women based on the stereotype that they’re all hot and frisky. Furthermore, all those who work in Russian intelligence are evil and backwards rather than possibly being motivated by some kind of patriotism, while all the American intel agents are paragons of virtue and seem like they just stepped out of an ad for Nick at Nite’s How to be Swell.

    The recent Academy Awards continued their politically motivated trend of awarding Oscars for best documentary to films on topics that just happen to coalesce nicely with Washington’s latest adversarial policy. Last year it was the White Helmets film to support the regime change meme in Syria. This year it’s Icarus about the doping scandal in Russia.

    Similarly, Loveless, the new film by Russian director Andrey Zvyagintsev (director of Leviathan) is being reviewed – as Catherine Brown points out – by writers from the mainstream American media in a predictably biased fashion. The film focuses on the disintegration of a married Moscow couple’s relationship and the complicated web of factors involved which have tragic ramifications for the couple’s 12-year old son.

    American reviewers manage to paint the factors detailed in the film that are prevalent in most modern capitalist cities (e.g. being self-centered, materialistic and preoccupied with technological gadgets) as somehow uniquely Russian sins. They also ignore a prominent character in the film that defies their negativity about modern Russia – a character that represents altruism and the growth of civil society in the country.

    A common theme in all this is that Russia is a bad country and Russians can’t help but be a bunch of good-for-nothings at best and dangerous deviants at worst. Indeed, according to media depictions, sometimes they manage to be both at the same time. But what they don’t manage to be is positive, constructive or even complicated. Sipher knows that the average American has been deluged with this anti-Russian prejudice, as reflected in his challenge at the end of his initial tweet about the largest country, geographically at least, in the world: Name something positive.

    Countering the Negative

    Most people know, at least in the abstract, that few individuals or groups are purely good or bad. Most are a complex combination of both. But many – including those who normally consider themselves to be open-minded liberals – have allowed their lizard brains to be triggered by the constant demonization of Russia in the hopes of taking down Trump whom they deem to be a disproportionate threat to everything they hold dear. So as a counterweight to all the negative constantly pumped out about Russia and to take Sipher up on his challenge, I will list some positive things about Russia and the contribution of the country and its people to the world.

    Contemporary Russia’s Domestic Policy

    Russia has one of the most educated populations in the world, universal health care for its people, a home ownership rate of 84%, strong gun control laws, no death penalty, 140 days of guaranteed maternity leave for women at 100% salary, and Moscow was just voted the 4th safest megacity in the world for women.

    (Old) Arbat Street, Moscow; photo by Natylie Baldwin

    And, despite claims that are often repeated in corporate media and even by many in the alternative press, Russia has independent and critical voices in the print media. Even on television, which is heavily influenced by the Kremlin, the Western position is often given airtime by either pro-Western Russian critics or Westerners themselves. During both of my visits to Russia (in 2015 and 2017) I interviewed a cross-section of Russians who all confirmed that they had access to Western media through both satellite and the internet. Furthermore, while violence against journalists is a concern, according to the Committee to Protect Journalists, journalist murders have decreased significantly under Putin compared to the era of Boris Yeltsin in the 1990s.

    Am I saying that Russia is a utopia without any problems? No. Like most countries, it has plenty. Most Russians, including Putin, admit this. These problems include still significant poverty rates, comparatively low productivity and life expectancy, and corruption. But it is important to note the direction of trends, which are mostly positive since Putin took over. Under his leadership, poverty rates have been cut in half, life expectancy has increased by several years – especially among men who had suffered the worst mortality crisis since WWII, crime has dropped, pensions have increased and are paid regularly, the unemployment rate has been around 5% for years, great investments in infrastructure and agriculture have been seen along with development throughout the country.

    And that development has not just been seen in Moscow and St. Petersburg – the latter city which, by the way, culturally and architecturally rivals those in France and Italy.

    Church on Spilled Blood, St. Petersburg; photo by Natylie Baldwin

    There are plenty of medium-sized cities throughout Russia that are becoming well-developed and culturally engaging. As one example, during my 2015 trip, I visited Krasnodar, located in the Black Sea region. The rate of civic construction in the city during 2014 surpassed even Moscow. As a consequence of the challenges of this rapid development, the public felt that decisions were not being made with sufficient feedback from residents, several of whom got together and created a group called the Public Council which eventually found ways to get city authorities to listen to their concerns.

    The group had received significant media attention, networked with youth groups and infrastructure specialists, and received foreign experts in urban planning, public arts, transportation and city marketing. They have also organized periodic clean-up and renovation days, which are sponsored by local businesses that donate use of equipment. Currently, they are working on the creation of protected green zones, including one that connects all of the city’s hiking paths and another to connect its 16 lakes. They have received no opposition from the Russian government and have elicited the interest of other cities who want to model their approach to local issues.

    While in Krasnodar I met a dozen or more professionals, from lawyers to engineers and doctors, who lived in the city and were part of another civic group engaged in charitable, conservation and youth programs. At one point, I took a walking tour of the city. In terms of architecture, I saw the old and the new side by side, including a large shopping center that was built around a large tower that had been there for generations that local residents saved from destruction by the mall planners, a square with controversial fountains, and a main thoroughfare that was closed to auto traffic, allowing pedestrians free reign. Couples – including some of mixed race, parents pushing baby strollers, and bicyclists – all wound their way through the streets as both Russian and American music was piped in and building walls on one side of the street for a stretch displayed delicate illustrations of Russian history.

    Pedestrian Thoroughfare, Downtown Krasnodar; photo by Natylie Baldwin

    Fifteen hundred miles away in the Ural mountain region, the city of Yekaterinburg – named after Catherine I – has the infamous distinction of being the place where Czar Nicholas II and his family were massacred by the Bolsheviks in 1918. On the site where the family’s bodies were exhumed, a magnificent Russian Orthodox Church has been erected and dedicated to the last royal family. Nearby is the Yeltsin Library, denoting the Russian Federation’s first President, although his legacy is not popular in Russia today.

    The city is also home to a wide variety of precious metals and gems, along with a thriving economy. According to Sharon Tennison, an independent program coordinator who has traveled there numerous times over the past 15 years, hundreds of new apartment blocks can be seen on the outskirts of the city to accommodate the recent economic and population growth.

    Yekaterinburg has a bustling cultural life that includes an opera house, a ballet, numerous theaters and museums, as well as dozens of libraries. In this respect, the city has continued its preoccupation with the classical arts as in Catherine’s period.  At the same time, many modern Russian rock bands with a distinctive sound have formed there (known as Ural rock).

    The city also has a low rate of violence and crime.

    Yekaterinburg

    As the New York Times and NPR like to point out and generalize out from, there are some rural and industrial areas in Russia that still need attention and investment. However, there are other towns in the countryside that are doing well.

    Russia’s Contributions to the World

    Russia has made many cultural and humanitarian contributions to the world.  In the 18th and 19th centuries, imperial Russia produced some of the most renowned figures in the world of arts. These include writers, such as Tolstoy and Dostoevsky, whose works are often cited by American readers as among the greatest of all time; great composers include Tchaikovsky, Stravinsky and Rachmaninoff.

    The country also has a rich history of pre-Soviet philosophers who debated questions of politics, history, spirituality and meaning. One of the most famous is Vladimir Solovyev, classified as belonging to the Slavophile school but distinguished from his fellow Slavophiles by his openness to and integration of several lines of thought.

    He acknowledged the intuitive as well as the rational. He was friends with Dostoyevsky but had disagreements over Orthodoxy since Solovyev was an advocate of ecumenism and healing the schism between Orthodoxy and Catholicism. Furthermore, he is credited with influencing Nicolai Berdyaev, Rudolf Steiner and the Russian Symbolists, among others. He admired the Greek goddess Sophia who he characterized as the “merciful unifying feminine wisdom of God.” Solovyev was adept at integrating several spiritual strands, such as Greek philosophy, Buddhism, Kabbalah, and Christian Gnosticism.

    Solovyev was famous for his debates with Slavophile contemporary, Nicolai Fedorov. In these and other writings, questions about morality and technological progress, how much humans should control nature, and prioritizing which problems to invest man’s resources in solving were all given great consideration by Solovyev and are still relevant today, in both Russian society and the larger world.

    It is interesting to note that, of all the early Slavophile philosophers, Putin chose Solovyev, the one who was the least strident and most open to the synthesis of differing values and viewpoints, as part of his assignment of books for Russia’s regional governors to read a few years back. Of course, that didn’t stop several western pundits – who showed they knew virtually nothing of Solovyev but perhaps some cherry-picked and out-of-context tidbits they’d found online – from distorting his writings, which naturally had to be horrible because Putin recommended them.

    Moving on to the 20th century, it should not be forgotten that the Soviet Union bore the brunt of defeating the Nazis during WWII, losing 27 million people, and saw a third of their country destroyed in the process.

    Front left of Monument to Siege of Leningrad, St. Petersburg; photo by Natylie Baldwin

    In the 21st century, Russia provided significant aid to Americans in the aftermath of Hurricane Katrina and Hurricane Sandy. They also provided safe transport to Yemeni-Americans out of that devastated country after the U.S. State Department effectively abandoned them in 2015.  Russia provided medical aid to 60,000 people affected by the Ebola epidemic in West Africa in 2014.  Last September, Russia provided 35 tons of aid to earthquake victims in Mexico.

    For someone who spent years in Russia as a professional expert working for the U.S. intelligence community, John Sipher is either not well-informed on his subject or is intentionally being disingenuous when it comes to the suggestion that Russia has done nothing positive, whether under Putin’s governance or before.

    The Purpose of Scapegoating Russia

    In early 2017, journalists Jonathan Allen and Amie Parnes published a book called Shattered: Inside Hillary Clinton’s Doomed Campaign. Largely based on interviews with insiders from Hillary Clinton’s failed 2016 presidential campaign, the book was an attempt to analyze why she lost. The insiders agreed that Clinton had trouble providing a plausible explanation to voters as to why she was running other than that she simply wanted to be president. They also noted her trouble connecting with average Americans and her failure to campaign in certain rust belt areas that Trump ultimately got support in. The book also states that within 24 hours of Clinton’s loss, members of her campaign had decided to home in on the excuse of “Russian interference” to explain away her humiliating defeat.

    In addition to a bloc of Clinton’s supporters continuing to push this excuse for her loss and the ratings motive that channels like CNN and MSNBC have in continuing to milk the scandal, there is also Robert Mueller’s investigation which has dragged on for over a year.

    The most notable thing about the Mueller investigation to anyone who takes a sober look at it is its constantly evolving purpose. First, the purpose of the investigation was to find any evidence to support the allegation that Russia had hacked into the DNC’s emails. When no substantial evidence could be found to support that allegation, the purpose evolved into collusion between Trump and Russia to steal the election on behalf of Trump.

    When no substantial evidence could be found to support that allegation, the purpose evolved yet again into Russia influencing the election on behalf of Trump, possibly without his knowledge or participation. When no substantial evidence could be found to support that allegation and all that could be found was a paltry number of social media ad buys – many of which were purchased after the election or advocated conflicting positions or didn’t even have anything to do with the election, the purpose became “sowing discord.”

    After all of this, we have an indictment against 13 private individuals who worked for a “troll farm” that had been exposed several years ago and is run by a caterer with no proven orchestration by Putin or the Kremlin. Mueller also knows that this indictment will never be legally tested because the 13 individuals will never be extradited and stand trial.

    After all the shrieking and howling 24/7 for close to a year and a half that Trump was an illegitimate president installed by the Kremlin, this is the best Mueller and the mainstream Democrats can come up with. It’s pretty obvious by now that this investigation has simply been feeding into the media and Democratic Party circus mentioned above rather than uncovering anything substantive with which to impeach Trump.

    The 2016 election showed that the Democrats faced a sleeping giant that had been awakened – one that the Democratic Party had helped to create for decades by enabling lower living standards, outsourcing of good-paying jobs, the proliferation of low-wage jobs, unaffordable education, lack of health care coverage, public health problems, and decrepit infrastructure.

    Consequently, there was a demand for meaningful policies that would help average Americans, policies that polls show they want.  But mainstream Democrats will not deliver on such policies, like $15/hour minimum wage, Medicare for All, and pulling out of our wars and investing the money saved in jobs and infrastructure. They won’t deliver on these things for the same reason that Republicans won’t deliver on them: because their donors don’t want them to. But they are not going to admit that to the American people who were going to keep demanding, so they needed a scapegoat and a diversion.

    It’s a cheap trick that the political elite is using to appeal to the basest instincts of their fellow Americans while shoring up support for their most reckless tendencies in the area of foreign policy.

    Natylie Baldwin is co-author of Ukraine: Zbig’s Grand Chessboard & How the West Was Checkmated, available from Tayen Lane Publishing. Since October of 2015, she has traveled to six cities in the Russian Federation and has written several articles based on her conversations and interviews with a cross-section of Russians.  Her fiction and nonfiction have appeared in various publications including Consortium News, The New York Journal of Books, The Common Line, and the Lakeshore.  She is currently submitting her first novel to agents and finishing a second.  She blogs at natyliesbaldwin.com. 

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    Juniper's Koley Sees Advantage at the Edge | killexams.com real questions and Pass4sure dumps

    Bikash Koley came to Juniper from Google, but had previously worked at Ciena, so he wasn't unfamiliar with the telecom space by any means. So he likely knew what he was getting into at a manufacturer whose router and security revenues were under fire on all sides, from traditional rivals such as Cisco and from newer players not burdened by a hardware legacy.

    In part one of this Q&A, Koley stressed Juniper's credentials in the software space and its commitment to open source. In part two, he argues that Juniper is better prepared than its competitors to thrive at the edge of the network, where he sees multiple distinct use cases and says Juniper and its Contrail platform are ready for both. And Koley makes the case that Juniper's security strategy is also future-proofed by enabling distributed security for the virtualized world. (See Juniper CTO: Open Source Software Can Be Profitable.)

    Carol Wilson: Juniper is part of the ONF [Open Networking Foundation] initiative, as you announced in June, that is focused on setting open source reference designs for what happens at the edge of the network. How is the rise of edge computing impacting Juniper and is it clear to you where the "edge" actually is and what it will look like going forward?

    Bikash Koley: For us, the use cases for edge computing are pretty clear. You can broadly break it down to two distinctive use cases and sometimes I see them getting mixed up. One is where you are virtualizing your edge network infrastructure and you're operating that on an edge cloud because it needs to be close to the edge. This is going to be fundamental to how 5G gets rolled out. The reason is primarily economics. Because if you look at the economics of 5G, it would be very hard to monetize all that has been spent to turn up a 5G network if you are not able to just build as is needed, and edge cloud gives you the ability to build as is needed.

    But then there's a second use case, which is how do I allow people to run applications that need to be closer to the users and by doing so, I monetize my ability to have space and power close to the user. The perfect examples of second use cases would be IoT [and] connected cars, where latency matters and you need to be close to the users. These two are somewhat distinct use cases and from Juniper's perspective -- we are actually very active in both.

    Vintage Bikash Koley, from his days at Google, doing a BCE keynote in Chicago.

    Vintage Bikash Koley, from his days at Google, doing a BCE keynote in Chicago.

    CW: Can you explain what you are doing?

    BK: The first use case is going to be primarily about mobility. If you go through Contrail's history, Contrail is probably the most deployed telco NFVi/SDN software out there with 200-plus customers, 40-plus are Tier 1/Tier 2 service providers all across the globe, and most of the actual production NFVi services, a vast majority of them use Contrail as NFV/SDN.

    5G is a natural extension for us and we have been preparing for that for a long time. How are we preparing for it? If you look at the common characteristics of edge cloud, there are a few things that you need. You need a small footprint, because we don't actually have a lot of space and power. We have been optimizing Contrail to fit into basically a single appliance for the whole stack, which it does today. You can't run the control plane locally because again it takes too much space and power and compute. Contrail has been supporting a centralized control plane, including when the control plane runs on public cloud, for quite some time.

    You need deep implementation of security because you're going to have IPsec and SSL encryption that you have to terminate, which Contrail does natively, as well as we have virtualized most of our firewall and routing devices to actually do that. On the edge, you have no option but to run microservices because full-blown services are too heavyweight to completely run on the edge. They have to be micro-service based. Contrail today has one of the best [microservice] implementations, so you can spin up microservice on containers. We do that today already for edge as a matter of fact. We have some of the first containerized VNFs [virtual network functions] that are orchestrated on Contrail. When it comes to service provider infrastructure adopting virtualization on the edge, we are very well prepared. We actually believe we are probably the most prepared when that deployment happens and we've already seen some deployments of that.

    CW: Where do you see service providers deploying, other than 5G?

    BK: Service providers have a distinct advantage of having an abundance of space and power that are really close, within milliseconds, of users. That is where they're differentiated from many of their competition, including public cloud. But for that to work, what they really need is, again, a cloud stack that they can deploy on the edge, that offers modularity and has all the same behaviors that I described before. Small footprint, embedded security, able to run control plane remotely, and the ability to orchestrate multiple users.

    There, we have what we call Contrail distributed multicloud. The whole approach has been how do we take the micro-segmentation and multi-tenancy that we have built for core applications and how do we extend that to edge? We already have, including having the ability to securely connect your edge tapestry of core centers so that if you're doing microservices, you have a seamless infrastructure all the way from edge to core.

    We also still have use cases for that already for IoT and the connected car environment. Also in terms of standardization, there are a lot of good works that are already starting to happen in Linux Foundation. There are some that are happening as part of ETSI and IEEE, so we're following them very closely. You're going to see us joining several of those as well, as they mature and we understand which ones are going to go and have the strongest ecosystem and market traction.

    CW: Do you think the industry and your customers are clear on the kinds of things you talked about? Are you having to do a lot of education in this field in terms of how all this stuff fits together?

    BK:As far as that, as you have pointed out, edge is a fairly new concept to most of the industry. One of the benefits that I have is having built the front-end infrastructure for Google for many years, edge cloud is not a new concept to me or to most of the hyperscalers, because they have been building this front-end infrastructure for a long time. There is definitely a re-education involved as to what it really means. We like the movement toward edge cloud because ultimately it opens up a set of footprints that was not necessarily Juniper's territory before, but now we have the ability to go after that. So we actually love it.

    Deep dive into real-world issues and virtualization deployment challenges with industry leaders. Join Light Reading at the NFV & Carrier SDN event in Denver, September 24-26. Register now for this exclusive opportunity to learn from and network with industry experts – communications service providers get in free!

    CW: Alright, a little bit of change the subject here. Security is an area in which Juniper has played a strong role. Is that going to be as strong going forward?

    BK: It is absolutely a strong focus for the company. Our security business, our firewall business, is actually growing. It's growing quarter over quarter. But more importantly we actually see the nature of security changing. One of the ways that it's changing is that security is becoming distributed. All the examples that you're walking through, whether it's edge cloud or distributed hybrid cloud, the security is not just perimeter. Your security is throughout the infrastructure. That's where our software-defined secure network becomes a very important strategy, where the places where you have visibility into what's happening in your infrastructure are not just firewalls. They're firewalls, they're switches, they're routers, they're overlays, overlays like Contrail. So that's one.

    Two, your enforcement points are distributed. We launched a product called Contrail Security, which does micro-segmentation throughout the overlay, as Contrail is laid, including within the public cloud. We have virtualized our firewalls so you actually can run them as hosted firewalls, again, across the board. You distribute the enforcement points much closer to where the applications are or where the users are.

    The last one is you need to have a common policy server, so you can apply the same security policy expected, whether it's on frame at public cloud, and you have complete coverage of the policy that you're deploying.

    A combination of this, we call this framework SDSN, Software Defined Secure Network. That's a combination of distributed security enforcement, distributed visibility and common policy that ties all of this together. It remains a key focus for us, as you know, when we acquired a company called Cyphort that can advance threat protection. Overall, it's a big focus for the company.

    CW: If you had to point to what you feel is Juniper's strongest differentiation or competitive advantage right now in the industry, what would you point to?

    BK: If I look into the market and if I look into the technology, I think the most disruptive thing that has happened to the market is cloud and by that I just don't mean public cloud. I mean, with every application, users now have an expectation that what they're connecting to is accretive, it's reliable and it's fungible. I get to use what I need.

    So if I'm a CIO, I'm trying to solve the same things for the infrastructure that I'm building in-house, or whether I'm going to go and use it from public cloud. Doing so is actually very complex and what Juniper is going after solving is ultimately how do I provide solutions where the customers don't have to choose whether they're deploying physical versus virtual, and they're deploying on-premises versus off-premises, or private cloud versus public cloud. It's true for small businesses, it's true for large enterprises and everybody in between, right?

    We feel our thinking is actually ahead of the pack in the way that we're solving this because we're actually solving this with a common set of solutions. We see that as a huge differentiation for the company going forward.

    CW: And you don't think this is something your competition does as well?

    BK: The reality of that is at some point they will catch up but whenever you have a real disruption, that happens in the way people consume infrastructure, it's almost always the first set of companies that disrupts, they end up being market leader. The same thing happened with IP routing a long time back. I see the same disruption happening in the space. Juniper is ahead of the others in the way that we're going and solving this problem.

    — Carol Wilson, Editor-at-Large, Light Reading



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    Juniper JN0-360 Exam (Juniper Networks Certified Internet(R) Specialist SP) Detailed Information



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