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Posts Tagged ‘testing’

Microsoft Azure, Machine Learning, and Artificial Intelligence! – LUIS

Wednesday, February 28th, 2018

Azure, which is Microsoft’s great platform for virtualizing an Active Directory environment, or at least that is what it started out being. Since its introduction in October of 2008 and its release into the production for masses on February 1st, 2010, Azure has grown into a lot more than just a virtual Active Directory. Azure has now become the world’s largest platform for virtual technology. This includes app development, deployments, and the introduction of PaaS, IaaS, and SaaS. These technological advancements within the Azure space allows Azure to not only be manipulated, but also enhanced to include Machine Learning.

Machine Learning is the next phase in technological revolution. Machine Learning gives the life to systems allowing them to self-correct and self-rewrite their programming to be more fundamentally correct. Machine Learning is already in most of the products that we use daily such as Amazon’s Echo which utilizes speech to determine products and services that best suite you, the consumer.  Other examples are Siri within the iPhone, Cortana with Windows, and Google Assistant. All these technologies work together with a simple purpose. That purpose is to learn the habits and functions of human beings to become better and more sufficient.

The connection flag ship with allows all these devices and machine learning products to interface is called IoT or the Internet Of Things. IoT connects devices such as your smart phone, home security, bluetooth enabled appliances, and more on to one unified management platform that they call interconnect and they are easier to manage. IoT is the next wave in technological advancement being presented by Microsoft along with other large competitors such as Amazon and Google. IoT is becoming the next big thing when it comes to full home automation. Machine learning interprets all information being gathered from analytics, bots, IoT experiences, including conversational components into a spoken dialogue called LU. LU or Language Understanding determines the intent of a sentence including the machine-enabled meaning representation.

In an effort in increase Machine Learning, Microsoft has launched LUIS which is its Language Understanding Intelligent Service. LUIS will allow Software developers to create cloud-based machine learning LU models that are designed around their specific application domains. This allows the code to be written and interpreted with very little Machine Learning experience. LUIS is now a cloud-based application which does most of the background work for Machine Learning in the background while giving users the agility and flexibility to cater the experience more towards their application and organization.  The application uses user experiences from the developer and learns how to obtain an HTTP endpoint in Azure which will then receive real-time traffic.  This is called “Active Learning”.  Through these “Active Learning” utterances, LUIS identifies the key features needed to make the experience and solution unique to that user.  These active learning sessions are done until optimum levels of requirements are met. Bear in mind that active learning is also utilizing machine learning, so the learning curve is very small, while the results are extraordinarily accurate.

LUIS runs off of three main functions and they can be categorized as Intents, Utterances, and Entities. All three aspects engage LUIS functionality and ability to learn the user habits. A more detailed overview of these functions are listed below:


Intents: The input done by a user to express actions with a purpose that the user wishes to perform or a goal which the user is trying to accomplish.  This could be as simple as booking flight, hotel, or pulling up a newspaper article. The name of the action can then be associated with the action.


Utterances: This can be a combination of text inputs that regulate an action to obtain results. Such actions in a text can be “check flight status” or “what was the score from the game?”.  Because of so many variations to an utterance, they may not always be perfectly formed sentences, but all desire a intent.

Entities: An entity is a specific detail within an utterance which governs the direction the utterance will take.  An example of this is “hotels in Jamaica”. “Jamaica” is the location. LUIS can determine the location, then using the other intents to understand the utterance, then provide a response.


LUIS utilizes powerful entity extractors for it to achieve learning capabilities and become more successful with its responses. LUIS allows developers to quickly build language understanding applications. The applications can then combine with customizable pre-built apps to include music, dictionaries, calendars, and devices. Through interaction with the developer and the information being constantly pulled from the internet, the learning, and solutions that LUIS provides becomes more intuitive with each use.  Once the applications are created using LUIS, the app can then be customized and tailored to the users which the app is designed for giving all of them that unique experience.

LUIS uses two ways to build a model, that is through “LUIS.ai web app” and “Authoring APIs”. Whether the user goes with the LUIS.ai web app or the Authoring APIs, they both give control over the LUIS model definition.  Another fundamental and creative method that developers have found is to combine both to build a model.  Management within the model includes models, versions, external APIs, collaborations, training, and testing.

LUIS is another segment in the Machine Learning process in the revolution of Artificial Intelligence. As machines begin to learn increasingly about human behavior and what we like, they also become aware of errors that we make including how to fix or to alleviate the errors all together.  Error free, automation, increase in productivity, and cutting cost is the motive behind AI. The Microsoft Azure cloud space is proving to be a formidable place for this technology to not only thrive but to maximize on limitless possibilities. IT GURUS OF ATLANTA will ensure that we provide updates to our supporters as we are a trusted Microsoft Partner and a certified Microsoft Cloud Partner.

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Passenger Drone Now In The US – Order like a Taxi!

Sunday, September 10th, 2017

Now who is ready for more state of the art technology? IT GURUS OF ATLANTA says the word is ready! When speaking of state of the art, we speak of the next level in technological advancements. Earlier this year we spoke about the new drones being pushed by Amazon that are being utilized to make their deliveries more efficient. Soon Amazon will be making deliveries to doorsteps of millions of homes in America once they have been approved by the government to do so. Now with even better drones being built by the hour, why not shape the way we travel while we are at it? Well a company in China is doing just that. The name of the company is called Ehang. Ehang has developed passenger drones which are capable of carrying passengers to and from locations the same way a drone would.


The prototype has been cleared for testing in the state of Nevada.  With the possibility of this passenger drone being sold commercially, this is a huge move for the company to get their product in the US.  Ehang’s drone is capable of carrying 1 passenger for 23 minutes in any direction the same way a drone would. The passenger drone is capable of traveling at altitudes of 11,500 feet and moving at 63 mph. The drone is completely electric and comprised of 8 propellers, 4 main arms which has upper and lower arms, can carry up to 264lbs, and has the same features of a conventional quadcopter.


Ehang partnered with the Nevada Institute for Autonomous Systems (NIAS) and the Governor’s Office of Economic Development (Goed) in order to get approval for the testing in Nevada. The goal of the company is to unleash the possibilities of aerial transportation on a commercial level. The vision of the company is for passengers to input their destination in the drone then allow the drone to complete the trip autonomously. These tests in Nevada are necessary in order for the FAA to approve the Ehang 184 for commercial use. Nevada has been noted as one of the forward-thinking states to allow the testing of autonomous vehicles on public roads such as the Google self-driving car.



The vehicle would not have any controls for the passenger to use. They would simply program their destination in their app, the vehicle would arrive to pick them up, and then take them to their destination. This would be done with very little interaction. As a backup, the company states that it would instill a remote-control center which would take over the vehicle in case any problems arise.


Being that this is cutting edge on the market, Ehang has matched the price with the demand by asking for $200,000 to $300,000 per vehicle. Even with the drone being tested currently, it still has hurdles to overcome such as being able to use the 4G wireless network in order to utilize the GPS, divert from potential hazards, and detect more efficient routes. The current concerns of the FAA is that there are no controls as well as safety concerns which the tests in Nevada will have to overcome.

With the growth of drone usage and autonomous vehicles taking over in companies such as Uber, Lyft, Google self-driving, and now the Ehang 184, it is clear that autonomous vehicles are here to stay. No longer are they a vision of the future or in sci-fi movies. The automation and sophistication of the future is now here in 2017.



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