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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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Citizenship to a Robot? Yes, Sophia is the World’s First Robot With Citizenship Rights!

Friday, February 9th, 2018

By now many reading this article are thinking in their heads, what is Sophia and how come I have never heard of her? Most importantly what and why would a robot attain citizenship. Well IT GURUS OF ATLANTA is here to tell the world that the citizenship is no joke. As of October 25th, 2017, Sophia which is a full-sized robot which has demonstrated social skills and knowledge unmatched by many others in the world.  Sophia of course by the name is a female robot and is also a full pledged citizen of Saudi Arabia which granted the citizenship to the robot.

Sophia is a perfect example of the work of Artificial Intelligence or best called AI. Sophia is capable of speaking concerning business across multiple platforms and industries. She has already met with a variety of decisionmakers across the world and assisted with many different key business decisions. The United Nations has already recognized Sophia by giving her an official role working with UNDP to safeguard human rights. How can a robot accomplish so much in such a little time, well its precisely said, Sophia is a robot and is currently the flagship for her maker, which is Hanson Robotics.

Sophia has managed to grab a reader base that subscribe to her videos and press coverages of over 10 billion readers in 2017. This is an astronomical figure as most celebrities themselves do not reach a pinnacle of that much of a fan-based audience.   The key feature of Sophia is her ability to display emotion and adapt to her environment by changing the tone, then matching what she is saying with the appropriate expression. The creator and owner of Sophia is Dr. David Hanson. Mr. Hanson worked previously as an “Imagineer” at Disney.   Because of his genius he was able to leave Disney and create his own company. Mr. Hanson’s motto is that to for robot to have the fundamental likeness of humanity, then the robot should possess creativity, empathy, and compassion. Those three traits are the design for a fully interactive experience with an AI such as Sophia.

 

The next phase in the Hanson Robotics project is to manufacture Sophia or “like-Sophia’s” for home use. Currently the production cost of the original Sophia is too much for the average person to afford, but the open platform allows for any developer to create their own Sophia built off of the current algorithms that Sophia is running on. Hanson Robotics which is based out of Hong Kong, built Sophia and modelled her features off of Audrey Hepburn, whom was a famous British actress.  Much of the features of crying. Laughing, and even expressing joy or anger is features that were displayed by Audrey Hepburn during her time.

Sophia has graduated since her original introduction to now being able to walk on her own with Hanson Robotics adding legs to her repute.  As AI technology develops so does the learning capabilities and functions with Sophia. She is adamant about protecting human rights and is a clear derivative of the future and where we as a society is heading. Now how much control and human-likeness will be give this humanoid generation is unclear, but definitely is a eye-brow raiser as the future begins to unfold. IT GURUS OF ATLANTA is dedicated to ensure that these technological breakthroughs are brought to the cusp of inquiring minds. It is our dedication and quality that recognizes these changes and adapt along with the change of times.

 

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