Aruba Announces ArubaESP, a Native Cloud Platform for Serving the Intelligent Edge

On June 18, Aruba, a division of Wise and Company, launched the industry’s first AI-powered cloud-native platform, Aruba ESP (Edge Services Platform), which is built on AIOps, zero-trust cybersecurity and unified architecture to provide persistent analysis of data across network domains, track SLAs, identify anomalies and perform automatic optimization of the platform, while monitoring unknown devices on the network to ensure device security.

Aruba ESP is understood to be designed to provide a cloud experience at the edge of the network and can be used as a cloud or local service, or by the Managed services are available from Aruba partners or through HPE GreenLake. In addition, Aruba offers HPE Financial Services, which customers have the flexibility to purchase based on their budget and operational requirements. Service Platform.

ArubaESP’s three “hard cores” harness the future of the intelligent edge

Utilizing unstructured data at the edge requires the use of network telemetry, the use of artificial intelligence at rates far beyond human capacity, and This data can be processed with a high volume of data. This requires an AI-powered infrastructure with a “sixth sense” to identify potential problems in advance and develop precise solutions. ArubaESP provides a single cloud on-premises or in the cloud, and automates the entire process without human intervention. A native platform that provides comprehensive protection of the enterprise network and unified management of the infrastructure based on the following core principles.

While AIOps is a key component of Aruba ESP, artificial intelligence technology, and rich analytics tools for network problems Root causes are determined with up to 95% accuracy and can be automatically fixed, proactively monitoring the user experience, and analyzing problems before they occur. Network tuning and optimization. In real-time deployments, AIOps can increase network throughput by 25 percent, and reduce problem resolution time by nearly 90 percent, significantly increasing Improved user experience.

In addition, the unified infrastructure integrates with the Aruba Central Integrated Cloud Network Management Platform, a cloud-native unified console that correlates cross-domain events to reduce problem resolution time and human error) across all campuses, data centers, and data centers. Network operations for switches, Wi-Fi, and SD-WAN in branch offices and remote work environments. In addition, Aruba’s unified infrastructure allows customers to choose between local deployments and public cloud services, giving them the ability to Maximum flexibility.

Meanwhile, zero-trust cybersecurity features combine built-in role-based access technology, dynamic network isolation and identity-based intrusion detection to authenticate, authorize and control every user and device connected to the network, which can detect, prevent, isolate and block network vulnerabilities before they impact the business.

At the launch, Aruba President and Co-Founder Keerti Melkote said, “The Intelligent Edge is the A catalyst for organizations that consider technology investment as their most important asset and wish to use it to accelerate the transformation and ensure business continuity. The enterprise has created unlimited possibilities. Aruba ESP is arguably the culmination of years of technological innovation at Aruba. At the same time, the pertinent feedback and suggestions from our customers helped us build it into an even better and smarter networking solution.”

The Innovative “Black Technology” Behind Aruba ESP

Aruba ESP is the industry’s most scalable full-stack cloud-native platform for wired, wireless and An SD-WAN environment that consolidates multiple network elements for centralized management and control. Aruba’s infrastructure is optimized with open standards for integration with third-party solutions and services. These significant innovations also include.

1. cloud-native management platform for any enterprise size – Aruba Central Integrated Cloud Network Management The platform currently runs business-critical networks for more than 65,000 customers. With the introduction of the new ArubaOS service, Aruba ESP is the industry’s only cloud-based solution for Networks of different sizes across campuses, data centers, branch offices and remote work locations provide a platform for full-stack management and operations.

2. Simplify day-to-day operations with a unified infrastructure – The latest version of Aruba Central provides access to public data pools through ArubaESP, enhancing functionality with simplified navigation, advanced search and contextual views, presenting multi-dimensional information from a single control point, and collecting and correlating information across domains and locations without the need for cumbersome tools.

3. Artificial Intelligence and Automation to Reduce Problem Resolution Times – Aruba’s unique technology approach to Aruba AI-driven innovations such as ClientMatch have been accumulated for more than a decade. Based on modeling data generated from more than 1.5 billion data points per day from more than 1 million network devices, the newly introduced AI Insights identifies those hard-to-find network configuration issues and provides root cause analysis, guidance recommendations, and automated fixes. thereby reducing troubleshooting time.

4, AI-driven IT efficiency – Aruba Central’s AI-assisted features enable IT teams to use only Simple English language lookup to extract information from the contextual information presented in the Aruba ESP Universal Data Pools Comprehensive user and device data for rapid problem resolution. For more complex problems, AI-assisted functionality collects and distributes all relevant data through event-driven automation for internal Support is provided by the Help Desk and Aruba Technical Assistance Center (TAC).

5. granular visibility across applications, devices, and networks – Aruba Central’s enhancements support User Experience Insight for user-centric analysis to more quickly identify client, application, and network performance issues.

6. Extend next-generation switching to distributed and midsize enterprises – To help enterprises accelerate transformation at the edge, Aruba Expanded the product portfolio of CX switches with the release of the new Aruba CX 6200 switch series. This family delivers built-in analytics and automation capabilities to any network edge. At the same time, the CX 6200 Series switches support a single mode of operation from the enterprise campus and branch office access layers to the data center .

Developer Hub Drives Continuous Innovation-Aruba has introduced Developer Hub, a comprehensive resource service for developers that includes Aruba APIs and documentation to simplify the development of the next generation of innovative edge applications using the open Aruba ESP platform.

Our massive network spans the entire enterprise,” said Ron Gardner, senior infrastructure engineer at James Cook University. multiple campuses and learning centers that run applications with stringent performance requirements to ensure that students, faculty, and researchers’ The enhancements to Aruba Central and ArubaOS can be used to simplify network connectivity and efficiency. Operations and maintenance while reducing equipment footprint and managing large campus networks and distributed locations from the cloud, ultimately, we were able to reduce equipment footprint while problems interfering with the normal operation of the network before they are proactively identified and resolved.”

To meet the organization’s rapidly changing business and technology needs, Aruba is said to have increased its procurement options, including through Aruba’s HPE GreenLake obtains services to purchase through HPE Financial Services with Initiatives such as Aruba ESP for Flexible Procurement Solutions. For example, customers pay only 1 percent of the total contract value each month for eight months after the contract starts, and receive the corresponding technology In the case of the program, over 90 percent of the remaining costs could be deferred until 2021.

An AI that can make up faces that don’t exist

There’s an AI that can make up faces that don’t exist, male or female, young or old, and can almost be messed up.

The most powerful face generator on the planet, NVIDIA’s StyleGAN2, has been around for three months since it was born. It’s been three months since it was born, a long time, and a virus that’s driving a lot of people crazy at home, and no one’s going to play bad with this AI?

No way. At least some of the deadheads who are addicted to sex-turning won’t let it go. A handful of fighting teenagers from Russia took StyleGAN2’s gender reassignment skills and unleashed them on their own. With this, Harry Potter Mother was born.

As a result, the teenagers slammed the skin color/ethnicity and age-changing Dafa with the same principle:

The little AI that performs each task is blissfully on par with the best performing algorithms of the moment.

How to tap into sexual transfer skills

How did three teenagers from Yandex, a Russian Internet company, and the Moscow Institute of Physics and Technology, go from a casual The algorithm that generates the face separates this particular function of sex transfer? They are using the Distillation technique.

The idea behind Distillation is to use StyleGAN2 as a teacher, which generates images containing knowledge that can be used to train the A student model. The sex-turned-AI is this student, acting as a small model that can quickly perform its own specific tasks.

The problem, however, is that StyleGAN2 generates just a single graph, not a set of male and female control charts. But what about the biased training data that the student needs in pairs?

Let’s start with the way face generators work. The generator actually relies on something called “latent code” to produce images. The latent code is a randomly generated vector (with length and direction) that is input to the generator to obtain a corresponding image… So what needs to be explored is what kind of latent code corresponds to what gender.

This problem can be easily solved with an image classification AI that identifies men and women. For every portrait entered, the AI outputs a gender.

The AI not only gives you the classification results, but also tells you how certain it is of the judgment. The Confidence score is between 0 and 1. The higher the score, the more certain the AI is that a graph is male or female. To ensure the quality of the training data, graphs with too low a score will be discarded Gas Gas Ref. 2

Of course, it’s not enough to judge the gender of each picture. Because the goal is sex transfer, not to turn a boy into a girl who looks completely different.

The next step is to put all the boys together and all the girls together and observe them. Each person is a vector that corresponds to a position of their own in space. Figure out the center of the boy and the center of the girl to get the difference between the two positions, which is still a vector. And the direction of this vector is the direction of the sex turn.

Now that we have the direction, it’s easy to create a set of graphs corresponding to each sex: still randomly generate the latent code and add this vector to the latent code , subtract this vector, plus 1/2 of the vector, and subtract 1/2 of the vector. this gives you 5 graphs per photo, and then The “most male” and “most female” images (with the highest AI confidence scores) are selected according to the judgment of the image classifier, and paired sex transfer datasets are available. That’s how it’s done.

Right = most male & most female Gas Gas Ref. 2

50,000 samples in the dataset, each sample includes 2 source maps (before gender transition), and 1 target map (after gender transition) . It was taken to train student models with remarkable results.

In addition to gender alteration, skin tone alteration and age alteration were distilled using the same principles, and the results of several of the little AIs were comparable to the most powerful algorithms available today.

Note that the AI’s training data are all synthetic images produced by StyleGAN2, but the tests are modifications of the real Photo. the AI performed well, and indeed the teenagers should be proud of it; it also means that they chose to trust StyleGAN2 in the first place! The image-generating capabilities of the company were not chosen incorrectly.

On the shoulders of giants

Some of you may not be familiar with StyleGAN2, but here’s a serious introduction to this shiny AI.

As you can see from the name, it’s a GAN, which is a Generative Adversarial Network (GAN). (Adversarial Network). By confrontation, we mean that a painter (generator) and a connoisseur (discriminator) live in the body of an AI and love each other to death. The painter looks at a human painting or photograph and tries to generate a realistic image so that the connoisseur thinks it is the work of a human; the connoisseur The effort not to be fooled motivates the painter to produce more realistic images. As both become stronger, GAN’s paintings become more and more realistic.

StyleGAN also has this dual personality. It’s just that the painter in its body is different, using the style of one image (e.g. tone, texture) to transform another.

The method of changing the style of an image is called “style migration” and it is the brainchild of Leon Gatys, who can turn a cat film into an oil painting.

The developers of StyleGAN have divided the style of portraits into three scales: on the coarse scale, they fix the face shape, orientation, and hairstyle; on the medium scale, they fix the hair color and facial features; and on the fine scale, just the color scheme of the picture changes and the person doesn’t become another person anymore.

Upper left = coarse scale, middle left = medium scale, lower left = fine scale Stella Ref. 3

The initial generation of StyleGAN, in fact, has become the most powerful face generator, even supporting 1024×1024 HD! Big picture generation. But the developers still picked out the flaws in the algorithm and effectively filled them in the second generation of the algorithm.

For example, the strange “water drop” flaw is gone.

Upper = first generation, lower = second generation Stellar Reference 1 The problem of the facial features being out of sync (e.g. the orientation of the face changed, but not the teeth orientation all together) was also improved by:

Down = second generation, teeth and eyes can rotate together with the orientation of the face Stella reference 1

In addition, scientists say, the fit between the three scales is more natural than before.

And so a new pinnacle emerged. It’s only natural for tech geeks to seize the opportunity to flirt with it, which is why we see the scene at the beginning.

The Sexual Turning of the Lifetime

In fact, even without StyleGAN, the act of humans taking AI for sex turns has been going on for a long time.

In 2016, a mobile app called FaceApp arrived and shocked almost the entire world. “Gender Swap” is probably its proudest feature.

A “urine battery” that uses urine to generate electricity

Sunlight, illuminating light, mechanical vibrations, thermal vibrations, even plant and animal fluids, all have energy that can be transformed into just that. Energy is usually too weak to be of use to humans. But advances in basic technology and manufacturing processes have changed the prospects for the application of this free energy.

Recently, scientists at Ritsumeikan University in Japan have developed a device that can sense the consumption of diapers by using urine as an electrolyte solution. level of “urine power”, and a matching urine volume sensor. The study provides a solution to a patient care problem.

Urine power source has promise to solve patient care challenges

Scientists working on urine-generating technology are obviously not working with mud. This technology has a clear application in patient care and has already progressed to the product testing stage.

Babies and people with lower limb paralysis wear diapers constantly, and caregivers have to regularly check to see if the diapers should be changed, which creates a certain amount of caregiver stress and psychological burden.

If a sensor that can feel urination is embedded in diapers, caregivers can be notified in time to change the diapers, making it extremely convenient for both doctors and patients.

This is not a high-tech idea, as there have been a variety of products in this field before. However, no matter what sensor circuit design is used, the issue of power needs to be addressed, and obviously sensors cannot work without a power source.

Conventional sensors require a lot of drive voltage to work, and designers had to use dry or coin cell batteries to power them, which is contrary to what diapers were designed to do.

From the wearer’s point of view, the new product should not add additional burden or discomfort. From the caregiver’s point of view, it is desirable that the product be as simple and easy to use as possible, especially if there is no need to install or replace batteries. One type of tedious operation. In addition, the cost of the entire circuit must be low enough to meet the requirements of a one-time use.

In this way, there should be no conventional drive power supply in the circuit. So, who will play the role of the power supply? Researchers thought of the urine itself.

How the urine power source works

The presence of various ions in urine, which counts as an electrolyte solution, offers the possibility of using urine to generate electricity.

The researchers arranged sheets of activated carbon cathodes and aluminum foil anodes inside the urine, which together with the urine form the battery. Then there was the problem of solving the sensors and circuitry.

Since urine batteries produce energy at the micro-watt level, the researchers needed subtle contrivances to harness such a small amount of energy to drive the sensors. Eventually, they came up with the idea of using tiny capacitors to store weak electricity. When the accumulated energy is large enough, the capacitor automatically discharges, releasing a pulse signal via radio to the outside world.

The energy is then zeroed out and the capacitor waits for the next discharge process.

When the volume of urine is large, the urine cell provides a more stable charging voltage for the capacitor, which will continue to gain energy and thus continue to discharge to the outside world. Release pulses. Depending on how often the pulses are released, an external signal receiving system corresponds them to the volume of urine, and we know the real-time volume of urine absorbed by the diaper. .

Printed electronics make it possible to incorporate these components into diapers at a very low cost and the price of the final product can be brought into the reasonable range.

In addition to urine, plant fluids can also be used to generate electricity.

The researchers also experimented with a variety of environmental power generation techniques, including plant fluid battery technology, which is a lot more difficult than urine batteries.

This is because plant fluids, although also electrolyte solutions, are more dispersive and lower relative to the amount of liquid somewhere compared to urine. The aforementioned urine power source provides microwatt levels of energy, while plant fluids can provide only one percent of that. This makes it more difficult to drive external wireless sensing circuits.

However, the research team has now succeeded in creating ultra-low-power wireless sensor circuits that, when coupled with plant fluid batteries, can measure changes in the amount of body fluid in the plant.

This is significant for agricultural automation. In future agricultural production, using bodily fluid sensors placed on certain plants, it will be possible to estimate the irrigation needs of farmland in real-time, enabling Smart Production.

AR, VR, MR: Can you distinguish between these three concepts?

AR, VR, and MR technologies have allowed us to see the wonders of technology, as well as the real and tangible real world and the untouchable. Virtual worlds are more closely connected. Three technologies have emerged that have many people baffled and even confused them together. Let’s take a look at what these three technologies really are.

AR

The full name of AR is Augmented Reality. This technology uses computer technology to superimpose virtual information onto the real world and display it through devices such as phones and tablets, being People’s perception, so as to achieve the integration of the real and virtual, and enrich the real world. In short, it is to “bring to life” its own flat content, to give more information to the real thing, to enhance the three-dimensional sense, and to strengthen the visual effects. and sense of interactive experience.

A common application of AR technology is the use of mobile phone cameras, which scan real-world objects and display them on the phone through image recognition technology Corresponding pictures, audio and video, 3D models and so on. Such as the “AR red packet” function of some software. Deeper applications of AR technology are still being explored.

VR

VR, or Virtual Reality, also known as Spiritual Reality, is a technology that is immersive and Interactive and conceptual features. vr technology combines computer graphics, simulation, multimedia, artificial intelligence, and Computer network technology, parallel processing technology and multi-sensor technology and other technologies to simulate human vision, hearing, touch, etc. The sensory organs function as if they were there, immersed in a computer-generated virtual world, and are able to use speech, gestures, etc. Conduct real-time communication to enhance the sense of entry and immersion. Through VR technology, people feel the real world realistic, but also break through the limitations of time and space and other conditions, feel to enter the virtual world The amazing experience.

VR technology is widely used, such as astronauts using VR simulation for training; architects making drawings of 3D virtual buildings for easy experience and modification; realtors enabling customers to visit homes in the real world; virtual stage scenes produced by the entertainment industry, and so on.

MR

MR, or Mixed Reality, is a further development of virtual reality technology. It is to set up an interactive feedback between the virtual world, the real world, and the user by introducing realistic scene information into the virtual environment. The key point of MR technology is to interact with the real world and to bridge the gap between the real world and information, thereby enhancing the realism of the user experience. Timely access, and therefore its implementation, requires an environment in which it can interact with things in the real world. If the environment is virtual, then it is VR; if the virtual information presented is a simple superposition of virtual things, then it is AR. the difference between MR and AR is simple: while AR just superimposes a virtual environment but ignores reality, MR is able to create a virtual environment through an Cameras allow you to see a reality that is invisible to the naked eye.

The virtual and real interactive feedback of MR technology enables people to communicate at great distances from each other, and is extremely operative, such as with the 5G network, doctors in two places can operate and guide simultaneously, which is extremely meaningful in the field of medicine.

The Importance of Softwares in Business

In this modern age, every household has no less than one computer system to use, and each family member knows how to use it and surf the web. Actually, even a four year old child knows how to surf the net or even play a few RPG games using their PC. A computer won’t work without installing the PC software in every household or establishment may have various types of PC software installed on their PCs, depending upon what they will need the most.

Nowadays, it is important for any business owner to settle on the right purchasing choice and pick the proper software product. It will help to accomplish certain goals, relying upon the way of your business. However, it is not simple to pick a software solution, which will perfectly suit in the structure of your business. Thus, your first step should choose the areas of business that can’t manage without proper software.

Some of the most famous purposes, why businesses by software are, in particular, is to make schedules for employees, deal company’s inventory and also to finish accounting tasks. When you are considering purchasing any given software product, you have two options the one is to buy it exclusively or in a group. Actually, purchasing software in a bundle can be cost effective. However, without a doubt not all business software solutions suit every type of business.

In order to abstain from purchasing a pig in a poke, you should realize all the conceivable insights about a specific product. Besides, it is sensible to think about getting as a free trial from a production company for testing. Also, in such a way, you will see whether any given software item can settle those issues that your company confronts all the time. To summarize, there are numerous subtleties to consider when picking software for your business. Having measured all the advantages and disadvantages of a specific product, you will have the capacity to decide to purchase it or not.