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Data Analytics is Helping Computers Create Rembrandt Masterpieces

Ever imagine what would happen if master painters like Rembrandt were alive and painting in the time of Prisma?

 

They would probably have a brain aneurysm looking at perfect photographic images to be transformed into almost accurate paintings on the hands of puny commoners with so much as a smart phone!

 

Data Analytics is Helping Computers Create Rembrandt Masterpieces

 

But how is that, computers these days can replicate the master paintings of famous legendary artists like Van Gogh or Rembrandt for that matter within a matter of few seconds? While Prisma transforms real photographs into paintings by playing around with the graphic information. But what if we told you…that you can create a whole new painting using your computer or to be precise with this ingenious algorithm! Continue reading “Data Analytics is Helping Computers Create Rembrandt Masterpieces”

The Data of Fashion! How Chanel Turned Their Fashion Show Into a Data Centre?

In the Paris Fashion Week, Karl Lagerfield Chanel’s creative director and owner of a custom USD 25,000 worth Apple watch transformed the majestic interiors of the Grand Palais arching with regal charm into a makeshift data centre. Long tangles of Ethernet cords spewed from server stacks and had models running about clad in haute couture along with an odd pairing of a robot helmet! As they strutted down the stark white runway, it seemed like the futuristic fashion show from the Capitol of the Hunger Games.

 

The idea behind his creation was to juxtapose computer gear with fashionable clothes. Also the attendees assume that this fashion demonstration was a subtle hint (which was not so subtle) at them many of whom have recorded the entire show on their smart phones populating the data farms of Facebook and Instagram. 

 

The event opened with two robots walking out to the runway while the song I feel love by Donna Summers played in the backdrop of the Grand Palais hall with its interior decked up to resemble a data centre.

 

The-data-of-fashion

 

That was followed by a host of other cat-walking models with the same data centre theme at the background. Continue reading “The Data of Fashion! How Chanel Turned Their Fashion Show Into a Data Centre?”

Will AI Replace The Intelligentsia? Google’s AI writes mournful poetry

Will AI Replace The Intelligentsia? Google’s AI writes mournful poetry

It is no new news that Artificial Intelligence can now control self driving cars; they can beat the best humans at highly challenging board games like chess, and even fight cancer. But still one thing it cannot do perfectly is communicate.

So, to help solve this problem Google has been feeding its Artificial Intelligence with more than 11,000 unpublished books, which include more than 3000 steamy romantic titles. And in response the AI has penned down its own version of mournful poems.

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The poems read something like this:

I went o the store to buy some groceries.

I store to buy some groceries.

I were to buy any groceries.

Horses are to buy any groceries.

Horses are to buy any animal.

Horses the favourite any animal.

Horses the favourite favourite animal.

Horses are my favourite animal.

And here is another one from Google’s AI:

he said.

“no,” he said.

“no,” i said.

“i know,” she said.

“thank you,” she said.

“come with me,” she said.

“talk to me,” she said.

“don’t worry about it,” she said.

 

The way this happened was, Google’s team fed their AI with unpublished works into a neural network and gave the system two sentences from the book; it was then up to this ingenious artificial intelligence to build its own poetry based on available information.

In example above, the team of researchers gave their AI two sentences one about buying some groceries and the other one about horses being a favourite animal (these are the first and the last lines of the above mentioned passages). The team then directed the artificial intelligence to morph between the two sentences.

In the research paper the team further went on to explain the AI system was able to “create coherent and diverse sentences through purely continuous sampling”.

With the use of an autoanecdoter, which is a type of AI network that makes use of data sets to reproduce a result, in this case that was writing sentences, using much fewer steps the team was able to produce these sentences.

The main principle behind this research is to create an Artificial Intelligence which will be proficient in communicating via “natural language sentences”.

This research holds the possibilities of developing a system that is capable of communicating in a more human-like manner. Such a breakthrough is essential in the creation of more useful and responsive chat bots and Artificial Intelligence powered personal assistants like that of Siri and Google Now.

In a similar project, the researchers at Google have been teaching an AI how to understand language by replicating and predicting the work of bygone authors and poets under their project Gutenberg.

This standalone team at Google fed the AI with an input sentence and then asked it to predict what should come next. And by analysing the text, the AI was capable of identifying what author was likely to have written the sentence and was able to emulate his style.

In another incident, on June, 2015 another team of talented researchers at Google were able to create a chatbot that even threatened its creators. The AI learned the art of conversation by analysis of a million movie scripts thereby allowing it to realize and muse on the meaning of life, the colour of blood, and even on deeper subjects like mortality; Ss, much so that the bot could even get angry on its human inquisitor. When the bot was asked with a puzzling philosophical question about what is the meaning of life, it replied by saying – “to live forever”.

In other such similar works, Facebook has also been teaching its artificial intelligence with the use of children’s books. As per the New Scientist which is a social network, it has been using novels such as The Jungle Book, Alice in Wonderland and Peter Pan.

If you are yearning for some more of AI’s written word, then here are the rest of Google AI’s poems.

You’re right.

“All right.

You’re right.

Okay, fine.

“Okay, fine.

Yes, right here.

No, not right now.

“No, not right now.

“Talk to me right now.

Please talk to me right now.

I’ll talk to you right now.

“I’ll talk to you right now.

“You need to talk to me now. —

 

Amazing, isn’t it?

So, what is it?

It hurts, isn’t it?

Why would you do that?

“You can do it.

“I can do it.

I can’t do it.

“I can do it.

“Don’t do it.

“I can do it.

I couldn’t do it. —

 

There is no one else in the world.

There is no one else in sight.

They were the only ones who mattered.

They were the only ones left.

He had to be with me.

She had to be with him.

I had to do this.

I wanted to kill him.

I started to cry.

I turned to him. —

 

I don’t like it, he said.

I waited for what had happened.

It was almost thirty years ago.

It was over thirty years ago.

That was six years ago.

He had died two years ago.

Ten, thirty years ago. — “it’s all right here.

“Everything is all right here.

“It’s all right here.

It’s all right here.

We are all right here.

Come here in five minutes.

“But you need to talk to me now.

 

To feed in adequate information on Machine Learning Using Python, reach us at DexLab Analytics. Our Machine Learning Certification is garnering a lot of attention owing to its program-centric course module.

 

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Sherlock Holmes Has Been Doing Data Visualization Before Big Data

Investigative minded people will definitely relate to this story from almost every child’s formative years. The day they get their hands on a magnifying glass, kids would feign being the most famous detective of all times – Sherlock Holmes with a cap they would focus the magnifying glass on an object and try and derive meaning by studying the details closely. This would be their first lesson in data visualization. Later as we learnt about Mr. Holmes through books of Sir Arthur Conan Doyle many of us may have imagined pursuing a career as a full-fledged detective. In his book A Study in Scarlet is the most vivid description of the inclination Mr. Holmes has for the sciences.

Sherlock Holmes Has Been Doing Data Visualization Before Big Data

Now that we come to think of it a detective has probably evolved in this technologically driven planet into a modern-day data analyst or an experimental scientist. The job of a data analyst or scientist revolves around gathering a bunch of disorganized data, and then we use this to build a case through deduction and logic and then you reach a conclusion after analysis. Continue reading “Sherlock Holmes Has Been Doing Data Visualization Before Big Data”

High Demand for Data Scientist profiles in LinkedIn

High Demand for Data Scientist profiles in LinkedIn

Currently, Data Science experts are the most sought candidates in the world. According to a research report published by DJ Metrics, the number of ‘Data Scientist’ profiles in LinkedIn has nearly doubled over the last few years. At present, there are more than 11,400 data scientists on the professional networking website, out of which, 52% have added the particular job description (read Data Scientist) during the period between 2012 and 2015.

About the Research

DJ Metrics have taken into account 60,200 LinkedIn profiles of professional experts, while 27,700 records of Educational data and 254,000 records of skills sets were also used to conduct an analysis. Additionally, they have analysed the database of 6200 companies that have provided employment to the Data Scientists. The names of the Companies were collected by analysing the profiles of the Data professionals, since they have listed the names of their employers.

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Great Career Opportunities

Great Career Opportunities

Researchers are forecasting that there will be a steady rise in the demand for trained Data Scientists, because of the increased adoption of Big Data and Business Intelligence by the leading global companies. High-end business organisations like Microsoft and Facebook are going through a continuous recruitment phase, as these companies had accelerated their hiring process by 151% and 39% respectively in 2014, as compared to what they had done in 2013.

According to the research report, about 65% of the total recruitments were carried out by the following industries:

  • Information Technology and Services, Internet and Computer Software Sector: 9%
  • Education: 3%
  • Banking and Finance: 2%
  • Marketing and Advertising: 2%

Big Data demands Bigger Skills

Big Data demands Bigger Skills

 DJ Metrics has analysed the database of 254,000 skills in order to figure out the growth in the number of skilful Data Science professionals. The results are significant, as apart from the general ‘power’ skills; namely, Data Analysis, Analytics and Data Mining, the top skills found among the vast number of profiles included R, Python, Machine Learning, MATLAB, JAVA, Statistics and SQL. Surprisingly, the Chief Data Scientists are found to have the least technical skills, as only 27% of the profiles had listed Python, while 26% listed R as their technical skill sets. On the other hand, 52% and 53% Junior Data Scientists have listed Python and R, respectively.

Top Recruiters

Top Recruiters

If you see the chart above, you will see that Microsoft and Facebook are the top recruiters over the given period. Surprisingly, Google has not made it to the top 10, although it has recruited quite a number of Data Science professionals. The reason may be that the Data Scientists at Google are called ‘Quantitative Analysts’, which is probably used by their employees while listing their designation on LinkedIn. Since, LinkedIn has researched about the general Data Scientists; they may not have detected the alternate titles.

Countries with highest Data Scientist population

Countries with highest Data Scientist population

Almost 55% of the total Data Scientists in the world are currently located in the United States of America (USA), which makes the top of the list. The second country with maximum numbers of Data Science professionals is United Kingdom (UK), while the third position is occupied by India.  

Are you interested in coveted data science online courses to upgrade your data science skill-set? Look no further than DexLab Analytics. They offer cutting edge Data Science training in Gurgaon for aspiring candidates.

 

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Are Regular Kali-Peelis Fighting Their Impending Antiquation?

A large amount of regular commuters of about 94%, feel that they have been harassed by the refusal of the usual Kali-peeli taxis. And about 80 percent of them say that the app-based services like Ola and Uber offer better options and convenience for travelling.

 

A survey conducted by the Mumbai Grahak Panchayat (MGP), during August 27-31, concluded that 29 percent of app-based cab systems have a very good rating system, while 28 percent of them said they are good. Only 19 percent of consumers revealed they were unsatisfied with the feedback system of such app-based services.

 

Here is an infographic that further elucidates how consumers. Continue reading “Are Regular Kali-Peelis Fighting Their Impending Antiquation?”

Our Machine Learning Training Demo Session Was a Raging Success

If you follow our social media activities at DexLab Analytics, then you must be aware of our recent event held last Sunday, on 18th September, 2016. We had welcomed people from all around the globe to join us at our Machine Learning training demo session which was completely free to join.

 

Our Machine Learning training demo session was a raging success

 

We are glad to announce that we have received a huge response from professionals around the world who made our event a complete full house! The total number of participants in the event was more than 50 people who had logged in from their own isolated remote locations to hear our instructor’s take on Machine Learning. Continue reading “Our Machine Learning Training Demo Session Was a Raging Success”

Can Creative AI Predict The Future?

Can Creative AI Predict The Future?

Artificial Intelligence is reaching new heights, as the researchers at Massachusetts Institute of Technology (MIT) have come up with a program that can estimate the future. The machines can predict the possible events that may occur in a given scenario. The scientists have programmed the machines in such a manner that they can transform a still image into a video. However, the experiment is in its initial stage and researchers wish that it would just get better with time.

Predicting the future

According to the researchers at MIT, this computer can view an image and figure out what may happen next. To be able to do so, the data scientists have fed the computers with humungous amounts of images and videos. All the videos and images were similar in terms of category. For example, videos of sea waves and beaches of previous years were input into the machines. So, the next time, when the computer is shown an image of a sea beach, it automatically generated a video from the still, which replicated how waves are hitting the shore and people are playing in the water. Similar experiments were conducted using images of newborn babies, golf players, and train stations. And in each case, the computer produced videos resembling the expression of these babies, movement of the golf clubs and trains approaching towards the platforms, respectively.

Predicting the future

But how does this machine do it?

As soon as enormous amounts of data are fed into the machine, it starts learning just as humans can. In this experiment by MIT, computers became familiar with the happenings at a sea beach. Therefore, the next time it is shown the picture of a sea beach, the machine analysed the image and eventually, showed what happens there. However, the scientists say that these videos have certain limitations.

According to Carl Vondrick, a Ph.D. student at the MIT, “AI can be trained to produce output just like human beings. They can recall an event and more importantly, AI can predict the possible outcomes of the event based on past records.” Thus, the deep learning programs are able to spot the similarity in several events and make predictions according to the past results, which may not be accurate in many times. From another perspective, these AI generated videos are too short, as their duration does not exceed 1 second. Moreover, the videos seem like some animated movements created during the 90’s.

Despite such limitations, scientists are hopeful about the future of AI because this experiment was just the beginning and the results were better than what was estimated. Vondrick expressed his views on how AI can help us stop any negative incident from happening. He said, “A machine can study the movements of an old man, which may enable it to forecast whether the person has a chance of falling. In that case, adequate measures can be taken in order to prevent the accident.”

Progress of the AI

Progress of the AI

Apart from MIT, there are several companies including the search engine giant Google that are working on AI. At the Google Cultural Institute (GCI) in Paris, computers are programmed to create new images and art forms. The GCI has developed an application that helps users to search artworks from the dataset of several museums across the world. What is fascinating is that algorithms solely administer the entire app. It can search the dataset of almost 7 million images and artworks and provide search results that match the search criteria. The most important feature of the program is that the application can figure out the difference between the emotions embedded in different pictures.  It can differentiate a peaceful picture from the rest by analysing its content. In addition, this program, also known as the ‘Deep Dream Project’ can create artworks on its own, which adds to the creativity of AI. Google is also working on the ‘Magenta Project’, which has recently created a piano melody on its own. The duration of the melody is 90-seconds and it is the first tangible music sample ever produced by AI.

Therefore, we can find that AI is enabling the computers to make judgements based on their intuition and at the same time, they are developing a sense of creativity. Days are not far when human beings will depend on AI to make their next move.

To get into the depth of the prowess of AI, opt for Machine Learning course online. DexLab Analytics is a leading Machine Learning training institute in Gurgaon. Go through their course itinerary.

 

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Statistics of Mobile Usage And Revenue Generation From Mobile Traffic

Here is some mind blowing statistics on the mammoth amount of data flowing from mobile web traffic:

 

The amount of mobile web traffic flowing in real is completely astounding. Industry insiders suggest that if people can read these traffic numbers correctly for every minute of time from across the world, they might even see the ebb and flow of the internet hidden somewhere in the network of disorganised data.

 

Data analytics is going deeper and deeper into the generation of new insights and real time statics study is one such emerging avenue. The most interesting thing to note about the system is how much can happen in just a minute or in a day. Like for instance, did you know how many products are sold on Amazon in an hour worldwide? Continue reading “Statistics of Mobile Usage And Revenue Generation From Mobile Traffic”

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