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Posts Tagged ‘algorithms’

Amazon and Microsoft Combine Powers to form – GLUON! AI Deeper Learning on Neural Networks!

Monday, April 23rd, 2018

In the highly competitive world that we live in today, its clear to understand that there is a strict competitive market building amongst the great tech companies such as Microsoft, Google, Amazon, Baidu, and other startup companies. All these companies have developed, deployed, and integrated their cloud based solutions with Artificial Intelligence. Artificial intelligence provides the steroids that the Cloud industry needs in order to accelerate its existence, growth, and empowerment. AI has developed key components to help itself with its constant learning processes. These processes can be better understood through “machine learning”. Machine learning allows information to be rapidly digested, conceptualized, and intelligently categorized by artificial intelligence. Cloud products such as Azure from Microsoft, AWS from Amazon, TensorFlow from Google, and more integrate machine learning into their systems to enhance the user experience and make mundane tasks to now be automated with little or no human effort involved.

With this evolution and the stiff competition there can be no collaboration in sight especially from rival companies which have no need to partner up, but to simply dominate their place in the industry. Surprisingly Microsoft and Amazon have done such a collaboration. This collaborated effort is not only to show that larger companies can work together, but also the data collected from this program allows both companies to be more successful in their domination of the cloud space.  Microsoft and Amazon have come together to form Gluon. Gluon in the dictionary is defined as a “subatomic particle of a class that is through to bind quarks together”. However, this is not the same Gluon which are referring to. Gluon is the fist distinctive collaborative efforts of these technology giants in the race for Artificial Intelligence and gathering information. Gluon is considered the store-house for machine learning and the ability to “voluntarily” utilize machine learning in the development of products and services by Amazon and Microsoft. This storehouse of technological learning and a knowledge base that is bubbling over with information is the type of data warehouse that AI thrives on.

This cohesive collaboration between developers and machine learning have no blossomed what is dubbed “deep learning”. Deep learning essentially is a combination of three distinct components such as data for training, neural network model, and an algorithm which trains the neural network.  The neural network essentially translates the data and feeds AI this information allowing AI to grow on a more diversified scale.  This new algorithm that is now being utilized by neural networks self-adjusts its output based on errors in the network output. This is a memory and compute process that machine learning and AI adapts through predictive outputs. An example of deep learning is Caffe2, TensorFlow, Appache MXNet, and Cognitive Toolkit offers options to speed up the neural network which often takes days to compute the data being derived.  These products now reduce the learning time and accelerates the parallelization in distributing computation processes.

Even though these products built within Gluon are effective and pose to change the way AI is developing by giving it more knowledge, the key is having developers to utilize these products to diversify and intensify the data stream.  AWS has been experimenting with its developers by using MXNet to train the neural networks. Microsoft has become a heavy contributor the open source MXNet by opening it to an ever-increasing rise in developers. The collaboration and data being created and distributed by these two powerhouses with Gluon can be overwhelming for a beginner when first interacting with this program, but even for more advanced developers, the data intensive algorithms seem take a life of its own demanding more ways to conform and adjust with massive error reduction.  The four key innovations which is introduced by Gluon are as follows:

Friendly API – using clear and concise code, it allows developers to learn and understand the data.


Dynamic networks – allows for ease of access and the rapid fluctuation of the data structure. Fluency in the data structure is critical for development as it allows hybrid scenarios and reduces stagnancy of the data flow as with previous machine learning software.


Algorithms that devein the network – Seamless combination of the model and algorithm allows the network to adjust definitions during training. This is critical as it allows developers to use programming loops, and conditionals.  Algorithms are now easier to change, create, and debug.

High Performance Operators for training – Gives the ability to create dynamic graphs and concise APi without sacrificing speed. Previous versions seemed to have consumed valuable run time that this feature runs through effortlessly and drastically picks up speed.

The question now becomes, how does developers access Gluon? Well its provided through Apache MXNet and the future releases will have support for Microsoft Cognitive Toolkit.  The AWS team has already published a front-end interface with low-level API to include other specifications and frameworks. Once accessing Gluon you can utilize an AWS Deep learning AMI to find a plethora of examples and workbooks utilized and documented by fellow developers.


Could this be a taste of what is to come from these super giant tech companies in terms of collaboration in order to leap ahead or is this just an opportunity for the public to advance an already thriving technology called Artificial Intelligence? These tech giants are clearly leveraging all aspects of “free data” and utilizing the voluntary efforts of developers world-wide to feed this neural network. As a partner for Microsoft, we anticipate that Microsoft as being the leader in products on the market will utilize Gluon in order to create more intensive, responsive, and advanced products built with AI as the backbone to reduce many processes and essentially speed up productivity. It Gurus Of Atlanta is your Microsoft partner of choice which brings you the cutting edge in design, technology, and its advancements.

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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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