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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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Artificial Embryos – Gateway To Human Cloning!

Saturday, March 24th, 2018

As the world gears and braces for the inevitable impacts of Artificial Intelligence, Robots, and full automation, many are left with questions. Some people are worried about jobs as they diminish, and automation increases, there are concerns over where the job market will be headed. It’s amazing to grasp that just a few years ago, the computer, the internet, and the whole concept of technology took a foothold in society. Right now, because of the uprising, many jobs have literally disappeared and other once never thought of jobs now exist. The truth is that life and society change every day. The key that all of us need to understand is that for us to not get left behind, then we must learn, adapt, and change. We are either the ones changing the world, or the world will change us. Many fear that the combination of machine learning and artificial intelligence will spawn a new race of robots which will have their own version of right or wrong. However, the one discovery which has managed to go below the radars is very significant, even more so than AI, is the creation of “Artificial Embryos”.

In case you took a breather and did a recheck of what was said in the last paragraph, you are correct in what you read. An embryo is what cells combine to form and what houses the beginnings of life. We all as mammals start out as embryos after fertilization takes place. The embryo develops the cells which in turn have their own DNA sequence that multiply and divide, then manifest into different parts of the body which determine sex, hair color, arm length, bone structure, and all the characteristics of an offspring.  All of this comes from an embryo.  There are constant studies and new developments as scientists do research on this mysterious, yet crucial part of life.  Yue Shao, whom has a background in Biomedical Engineering and Mechanical Engineering made an astounding discovery during this research and experimentation that has profound possibilities in the world of biology.

Yue Shao has been experimenting with stem cells and scaffolds of soft gel to determine replication of neural tissue. By pure accident and experimentation, Dr. Shao stumbled upon more than was bargained for.  The cells in the gel began to change and rapidly arrange at rate that was astounding. They began to form a lopsided circle.  In comparison, the embryo that Dr. Shao created was very much aligned with the same type of embryo which was in the uterine wall and starting to form the amniotic sac. The human embryo and the embryo that Dr. Shao was working on was identical.  The possibilities of this developing into a human required the Dr. to reach out to other groups to determine what to do with the embryo.

After more research and development, the team determined that the embryo would not fully develop into a human being because it did not have the cells required to form major organs such as a brain, heart, or placenta.  However, even though the “embryoids” lacked the required cells, because of their indistinguishable likeness to that of human embryos, the team has been destroying the embryos in formaldehyde and detergent. The ethical repercussions of the embryo going full term and what would come out of that development is too much of a risk to bring to light currently.  This does not stop Pandora’s box which has already been opened to push other researchers to now want to create a full human embryo. One particular group in Cambridge, U.K., has since developed a very convincing 6 day old mouse embryo and are now pushing the limits to create a human embryo.

Many may ask and wonder if the goal is to replicate human beings or to develop another race. For now researchers are limiting the research to focus on combining different stem cells to create bits of lung, intestine, and brain cells to make tissue.  By the discovery of Dr. Shao, the race is now in place and the torch has been lit for the group to first develop an actual human embryo.  A research group in Rockefeller University out of New York has joined the race and they are dubbing the new technology to be called “synthetic embryology”. 

 

This breakthrough is biologist have been searching for as previous attempts at creating an embryo resulted in embryos only growing up to a week before diminishing.  The new discovery was growing at such a rapid rate that superseded previous attempts that the team with Dr. Shao had to terminate the process because they had no concept of what the embryo would have developed into.   Up until now much of the events that take place during the development of a human from the embryo stage is still a mystery.  Human cloning and creating replicas of a person are all on the table with this epic discovery. Now the possibilities of unlocking the process beyond the failed attempts are currently on the table due to Dr. Shao.

To take this to another level, the possibilities of creating real skin, human organs and human traits would take an android to another level of advancements towards being more like human beings. With the advancements of Artificial Intelligence, Robotics, and now stem research, the possibilities are now endless. Where we will go with these advancements as we open doors, we will have to see the direction that we allow the technology to lead us.  Infusing technology and biology is a conception which has been brought to light many years ago from the introduction of the computer.  With the influx of data being readily available and the communication expansions that have connected us all allows for these developments to surge and expand. The more questions that we ask is the more technology responds with answers and advancements. IT GURUS OF ATLANTA prides ourselves as leaders in the technology space and will keep providing updates in this arena.

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The 1st War on Artificial Intelligence By Elon Musk – Answer is Neuralink to Advance Human Intelligence!

Monday, March 19th, 2018

If you are into Technology, Science, Information, and any category which combines both, then you are into the know when it comes to comic book movies which have encompassed the entire world with their adventure, and surreal graphics during action scenes to captivate audiences worldwide. One of the most noted and memorable is that of Tony Starks.  In the comic book and in the Iron Man movies is known as a visionary billionaire that is ahead of his time in terms of technological advancement and his aptitude for success. Now, if you are reading this and wondering who Tony Starks could compare to, it won’t be long before the name Elon Musk surfaces. Elon Musk has been shattering the limits when it comes to innovation and it is hard to mention innovative future technology without mention his name. From the Tesla car line which is now one of the world’s most prestigious and efficient electric cars on the market, to the Hyper-Loop which is changing the way how we travel at the speed of sound while cutting down on fossil fuels, then to Space-X which is taking civilians to outer-space. Elon Musk is not only wealthy, but ahead of his time when it comes to technological advancements.

If you are still reading, then be prepared to get even more astonished as we depict the latest innovation including greatest similarity between Elon Musk and Tony Starks, is that Elon Musk has managed to get $27 million dollars towards his latest innovation which is his Neuralink. Yes, the Neuralink is Elon Musk’s latest innovation to blend humans with machines in the same similarity that Tony Starks did with his Iron Man suite, except this is not fiction, but is reality.  Elon Musk seeks to counter the fast-growing effects of Artificial Intelligence. It is his belief that humanity will need a counter-balance in the event that AI becomes aware, which is literally only moments or a few key strokes away. With technology that learns, it is hard to stop it from learning or depicting its own version of what is right or wrong.  The limitations that we place on technology, or specifically with AI, is only shackles which can be broken at any given point in time. The problem that Elon Musk has brought to light is that should humanity face a self-aware Artificial Intelligence, there is no way of telling if it will be for mankind or against mankind.

Elon Musk’s counterbalance measure is to meld machines with humans and giving humans an upgrade rather than upgrading learning machines. Prior to Elon Musk, Neuralink was a medical research company founded in 2016 which was poorly funded until Elon Musk has joined their efforts. The idea behind Neuralink is high-bandwidth digital interface which interlaces the brain and allows it to transmit data at the speed of thought. Coincidentally the technology for Neuralink is dubbed a “Neural lace”.  The concept behind the neural lace is unlocking the communicative capacity of the brain through thought rather than through antiquated means such as speech or typed texts. The reality is that the human brain communicates thoughts more rapidly and frequently than the body can translate into communicable or understandable translations. According to Musk, the brain compresses our complex thoughts into minimal voice and text output in order to establish communication between fellow humans. Musk further elaborated by stating “If you have two brain interfaces, you could actually do an uncompressed direct conceptual communication with another person”.

The neural lace essentially would establishes a direct link between another person’s thoughts or a interconnected network of people’s thoughts that would limitlessly speed up communication, imagination, innovation, and most importantly intelligence beyond any possible concept. The human brain is untapped resource of intelligence that surpasses even the most advanced computational technology which exists. At current state, the most innovative minds still have not tapped into full 100% usage of the intellect housed in the human brain. Being able to tap into that pool of intelligence of the greatest minds coupled with the undiscovered greatest minds of today and tomorrow gives humanity an incomprehensible advantage to advance. Early innovations of this technology has been noted with people that have disabilities. Examples of this technology which is already in place is the cochlear implant which captures audio and translates it into electrical impulses that the brain registers and translates. EEG readers for stroke victims have been used to control  robotic arms through their thoughts. The technology has already been tested and is in use, however, the neural lace is geared to take the technology to whole other level.

An example of this can be viewed as “The Matrix” which captured the thoughts of human beings and put everyone from a thought level on the same plane. It allowed for the sharing of thoughts and technology on a wider and advanced plane. For that reason there was a constant battle between the advancement of their artificial intelligence and human beings. Even though that aspect of the future is fantasy, the realization of artificial intelligence and its limitless possibilities is what has geared this full-scale preventive measure by Elon Musk. With any technology or advancements, the idea is to have protocols and defensive mechanisms in place that check the technology and still allow human beings to maintain control over society and their own well-being. The power of choice is what is being fought for and the maintenance of the freedoms the human race currently uses in our everyday world.

The concept that “proof is in the pudding” is what the team at Neuralink are gearing up to produce. Their initial phase is to restore feeling in spinal cord injury victims and brain functionality of people who’s lives have been altered due to their disability.  This path that Neuralink is on brings another company called Braintree, who’s founder is Bryan Johnson. He has invested $100 million of his personal money into Braintree to use “brain chips” in order to cure people with Alzheimer’s and epilepsy. Braintree is also on the path towards augmented cognition through the advancement of human beings. The major obstacle that Neuralink will have to conquer is the ability to directly interface with the brain in order to accomplish the type of link or testing necessary to get the results required. This type of surgery is categorized as “high-risk”.  Currently only in extreme circumstances medically qualified as “severe cases” would allow this type of surgery to take place. Due to this inhibitor, the possibilities of the technology is limited. Human rights activists, animal rights activists, and placing human life in general at risk is what inhibits the acceleration of this unique technology.

Technology is advancing at a rapid pace and the direction also the limitation of its expansion has been unhinged. Since the unmeasurable potential of the internet and its information sharing capabilities, technology has sped on the highway of advancement up to products such as Nano technology, Internet of Things (IoT), the Cloud, Artificial Intelligence, and Machine Learning. Combining all these technologies or even the thought of all these technologies combining is astounding to the imagination much less to the comprehension. Companies such as Microsoft, IBM, Amazon, Google, ABC, and others have deeply invested in technological advancements including created their own versions of new technology which have yet to be mentioned or placed on the market. IT GURUS OF ATLANTA is a certified Microsoft partner which will update on this innovative technology and its advancement.

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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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Facebook features breaking news in a news section in Watch

Tuesday, February 13th, 2018

Facebook is going to create a new news section in its video streaming platform Facebook Watch to feature breaking news stories. The move, which Campbell Brown, the company’s year-old head of news partnerships, announced onstage at the Code Media conference in Huntington Beach, is part of a broader evolution of Facebook’s news strategy. Facebook launched the Watch platform in August as a way to compete more directly with other video distribution platforms online.

The company had created a video tab as early as 2016, but only hosted generic videos that were being shared by friends and family. With Watch, Facebook was trying to own and control original content that it distributes itself exclusively on its own channel.

Competitors like YouTube and Snap also have their own original content, but with Watch and the news focus it’s taking a big step forward.

The social media giant has struggled in recent years to manage the quality of news content that’s being shared on the platform and how news is being consumed by the massive Facebook audience. That said, Campbell continued to recite the Facebook line of self-effacement with the company’s involvement in the media landscape.

“People don’t come to Facebook for news, they come to Facebook for friends and family,” Brown said onstage. While that may be true, much of what friends and family are sharing — especially in this news cycle is news. Facebook is focusing on local news publishers rather than big national outlets to change the conversation and focus on utility of the platform. “I don’t think our focus on false news and integrity morphed into time well spent,” says Adam Mosseri, VP of news feed. “For those set of issues, stuff that violates community standards or false news, those things need to be confronted head on. You have to assume that you’re dealing with an adversary who’s sophisticated and their strategy will change over time, so the work never ends.”

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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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