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It's A "Holly Jolly" Artificial Intelligence Enabled Special Christmas

Did you know there’s a bit of artificial intelligence (AI) magic behind the scenes helping to make your holiday dreams come true? Santa’s ...

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Shout Future

Educational blog about Data Science, Business Analytics and Artificial Intelligence.

Did you know there’s a bit of artificial intelligence (AI) magic behind the scenes helping to make your holiday dreams come true? Santa’s little helpers have gone high-tech this year. From finding the perfect gift to AI-enabled toys and even composing a holiday song—that truthfully will take a bit more refinement before it becomes a holiday classic—AI has infiltrated our holidays from start to finish.

Adobe Stock
Adobe Stock

AI drives online shopping experiences
Those of you who are adept behind the keyboard might be surprised that this hasn’t been true for years, but the scales have tipped in favor of online shopping with 51% of the Deloitte 2017 Holiday Retail Surveyrespondents saying they would be making the bulk of their purchases online this holiday season. In the past, shoppers would research and compare prices online, but the majority still went to stores to make their purchases.
Artificial intelligence algorithms help make online shopping experiences more personal. AI gets to know your preferences and behaviors to provide personal recommendations and save you the time of culling through thousands of product results to find just what you’re looking for. This AI tech is getting so good that it knows what you want—and can suggest complementary products—even better than you do.
The fashion retailer Stitch Fix is the perfect implementation of this technology. Customers fill out a style profile and personal stylists, heavily guided by algorithms, pick out items the customer will most likely enjoy. The algorithms keep getting smarter based on the ongoing feedback of the customer when they return an item because they don’t like it. These algorithms can help streamline our shopping experience to reduce the amount of choices we have. Increasingly, shoppers are preferring to use voice-search enabled assistants to shop and ComScore predicts that by 2020, 50 percent of all searches will be voice activated. Yep, you guessed it. AI at work again.
AI enhances customer service for retailers
Another way AI supports our online holiday shopping experience is through the use of chat bots. We likely won’t be able to determine if we are chatting with a human or a chatbot in the future as they step in to guide our purchases and handle questions about orders that have historically required retailers to hire a bunch of seasonal staff for the holidays. The North Face currently offers direct interaction with its IBM’s Watson-supported system and customers to help determine what item is the best for the customers’ needs. Chat bots are also used to answer queries or FAQs that can bog down human customer service personnel and have the capability to funnel customers that require human intervention to a human.
AI is being used by some stores to provide customers with a customized and personal experience in the store similar to what they get when shopping online. The Mall of America launched E.L.F., short for Experiential List Formulator, to help shoppers plan a personalized shopping experience by using the brains of an IBM Watson-enabled platform. The entire system is driven by AI and can understand through voice recognition technology queries and sentiments of customers and can output a personalized plan for each customer based on their answers to a series of questions.
AI impacts retailer’s operations
In addition to the customer-facing impacts of AI to the holiday shopping experience, there’s a tremendous amount of AI tech being utilized behind the scenes as well. From insights to manage inventory and to optimize supply chains and delivery routes, AI helps make retail more efficient.
A modern “Silent Night”
And perhaps the most entertaining use of AI for the holidays is experiments to have AI compose new holiday songs. Although more fine tuning is needed before these holiday melodies become classics, this early work provides interesting insight into the possibilities for AI and human collaboration for music composition. A team of computer scientists at the University of Toronto first fed the machine hours of pop songs so the algorithm could understand the elements of what makes a good song. Then they had it write a story about a picture of a Christmas tree with presents underneath it. The outcome of this effort is a tune that shows some promise but still needs quite a bit of work, but it also supports the idea that AI might be a “great band member” in the future and that humans and AI will continue to collaborate to make music that we all can enjoy. Thomas Holm, a Norwegian “The Voice” contestant, is the musician that collaborated with Microsoft to refine the lyrics and finalize a song created by artificial intelligence called “Joyful Time in the City,” and this experiment gives us a good look at how music composition might happen in the future with the support of AI.
AI has infiltrated this holiday season like never before. In most cases, the efficiencies and conveniences AI enabled retail provides us are welcome by all.
Bernard Marr is a best-selling author & keynote speaker on business, technology and big data. His new book is Data Strategy. To read his future posts simply join his network here.
Credit: Forbes





December 23, 2017 No comments
Insurance, medical insurance, AI, Robots in Insurance,  Artificial intelligence, Personal injury claim
Zurich said it recently introduced AI claims handling and saved 40,000 work hours as a result. 

Zurich Insurance is deploying artificial intelligence in deciding personal injury claims after trials cut the processing time from an hour to just seconds, its chairman said. 
"We recently introduced AI claims handling, and saved 40,000 work hours, while speeding up the claim processing time to five seconds," Tom de Swaan told Reuters.
The insurer had started using machines in March to review paperwork, such as medical reports. 
"We absolutely plan to expand the use of this type of AI (artificial intelligence)," he said. 
Insurers are racing to hone the benefits of technological advancements such as big data and AI as tech-driven startups, like Lemonade, enter the market.
Lemonade promises renters and homeowners insurance in as little as 90 seconds and payment of claims in three minutes with the help of artificial intelligence bots that set up policies and process claims. 
De Swaan said Zurich Insurance, Europe's fifth-biggest insurer, would increasingly use machine learning, or AI, for handling claims. 
"Accuracy has improved. Because it's machine learning, every new claim leads to further development and improvements," the Dutch native said. 
Japanese insurer Fukoku Mutual Life Insurance began implementing AI in January, replacing 34 staff members in a move it said would save 140 million yen ($1.3 million) a year. 
British insurer Aviva is also currently looking at using AI. 
De Swaan said he does not fear competition from tech giants like Google-parent Alphabet or Apple entering the insurance market, although some technology companies have expressed interest in cooperating with Zurich.
"None of the technology companies so far have taken insurance risk on their balance sheet, because they don't want to be regulated," he said. 
"You need the balance sheet to be able to sell insurance and take insurance risk," he added.
May 18, 2017 1 comments

TAPPING A NEURAL NETWORK TO TRANSLATE TEXT IN CHUNKS

Facebook.com, facebook AI,  artificial intelligence, language translation
Facebook.com artificial intelligence 

Facebook's research arm is coming up with better ways to translate text using AI.
Facebook
Facebook’s billion-plus users speak a plethora of languages, and right now, the social network supports translation of over 45 different tongues. That means that if you’re an English speaker confronted with German, or a French speaker seeing Spanish, you’ll see a link that says “See Translation.”
But Tuesday, Facebook announced that its machine learning experts have created a neural network that translates language up to nine times faster and more accurately than other current systems that use a standard method to translate text.
The scientists who developed the new system work at the social network’s FAIR group, which stands for Facebook A.I. Research.
“Neural networks are modeled after the human brain,” says Michael Auli, of FAIR, and a researcher behind the new system. One of the problems that a neural network can help solve is translating a sentence from one language to another, like French into English. This network could also be used to do tasks like summarize text, according to a blog item posted on Facebook about the research.
But there are multiple types of neural networks. The standard approach so far has been to use recurrent neural networks to translate text, which look at one word at a time and then predict what the output word in the new language should be. It learns the sentence as it reads it. But the Facebook researchers tapped a different technique, called a convolutional neural network, or CNN, which looks at words in groups instead of one at a time.
“It doesn’t go left to right,” Auli says, of their translator. “[It can] look at the data all at the same time.” For example, a convolutional neural network translator can look at the first five words of a sentence, while at the same time considering the second through sixth words, meaning the system works in parallel with itself.
Graham Neubig, an assistant professor at Carnegie Mellon University’s Language Technologies Institute, researches natural language processing and machine translation. He says that this isn’t the first time this kind of neural network has been used to translate text, but that this seems to be the best he’s ever seen it executed with a convolutional neural network.
“What this Facebook paper has basically showed— it’s revisiting convolutional neural networks, but this time they’ve actually made it really work very well,” he says.
Facebook isn’t yet saying how it plans to integrate the new technology with its consumer-facing product yet; that’s more the purview of a department there call the applied machine learning group. But in the meantime, they’ve released the tech publicly as open-source, so other coders can benefit from it
That’s a point that pleases Neubig. “If it’s fast and accurate,” he says, “it’ll be a great additional contribution to the field.”
May 09, 2017 No comments
Google AI, AutoDraw, Auto Draw,  Machine learning, neural network
Google Neural Networks Drawings
Google went big on art this week. The company launched a platform to help people who are terrible at art communicate visually. It also published research about teaching art to another terrible stick-figure drawer: a neural network.
On Tuesday, the company announced AutoDraw, a web-based service aimed at users who lack drawing talent. Essentially, the program allows you to use your finger (or mouse if you’re on a computer) to sketch out basic images like apples and zebras. Then, it analyzes your pathetical drawing and suggests a professionally-drawn version of the same thing. You then click on the nice drawing you wanted, and it replaces yours with the better one. It’s like autocorrect, but for drawing.
Nooka Jones, the team lead at Google’s creative lab, says that AutoDraw is about helping people express themselves. “A lot of people are fairly bad at drawing, but it shouldn’t limit them from being able to communicate visually,” he says. “What if we could help people sketch out their ideas, or bring their ideas to life, through visual communication, with the idea of machine learning?”
The system’s underlying tech has its roots in a surprising place, according to Dan Motzenbecker, a creative technologist at Google. “It’s a neural network that’s actually originally devised to recognize handwriting,” he says. That handwriting could be Latin script, or Chinese or Japanese characters, like kanji. From there, “it’s not that big of a leap to go to a doodle.”
As people makes their line drawings, the network tries to figure out what it is. “The same way that might work for a letter of the alphabet, or a Chinese character,” Motzenbecker says, “we can use that for a doodle of a toaster.”
Neural networks get better by learning from data, but when asked about how and if the system is learning from our drawings, Jones says: “In theory, yes; we don’t quite disclose what we actually use as input back into the algorithm.”
Just like there are different ways to draw a letter, there are multiple representations of an elephant or a horse. “The more variety it sees,” Motzenbecker says, “the more adaptable it is to seeing novel ways of sketching things.” Users are also confirming the AI’s guesses when selecting a new drawing, which could help to guide its future decisions.
“One of the things that you see across the entire industry, and Google has recognized the potential of this much earlier than most other technology companies,” says Shuman Ghosemajumder, the chief technology officer at Shape Security in Mountain View, Calif., and a former Google employee, “is the use of machine learning to be able to do things that were previously thought to require direct human intervention.” And machine learning models need data.
“In this case, if you’ve got an app that millions of people potentially will use to be able to attempt to draw different figures,” he adds, “even if your technology isn’t perfect right now, you are creating this amazing training set of input data that can be used to improve these models over time.”
While AutoDraw is about helping people turn their doodles into more recognizable images, the search giant is also interested in how computers draw. On Thursday, Google Research published a blog post and paper about how they had schooled a recurrent neural network to draw items like cats and pigs.
The researcher team's goal was to train “a machine to draw and generalize abstract concepts in a manner similar to humans,” according to a blog item written by David Ha, a Google Brain Resident. The system works by taking human input—say, a drawing of a cat or just the word “cat,” according to a Google spokesperson—and then making its own drawing.
The results are fascinating and bizarre. In one example, the researchers presented the system with a sketch of a three-eyed cat. The computer drew its own cat, but this one had the right number of eyes, “suggesting that our model has learned that cats usually only have two eyes.”
In another, when presented with a picture of a toothbrush, the Google neural network’s cat model made a Picasso-like feline that still had a toothbrush-inspired feel to it.
A Google spokesperson confirmed that it is different neural networks that are powering AutoDraw and the other research, but the similarities are striking: in both cases, the system is drawing on machine learning to take a piece of input and then either suggest a professionally-drawn image, or create something new totally on its own.
April 15, 2017 No comments

New AI Artificial Intelligence technique will helps humans to remove Specific fears from the mind. Combination of Brain scanning and Artificial Intelligence called Decoded Neurofeedback is a new method to erase your fear memory.

Artificial intelligence, new ai, image recognition, brain scanning, fear, remove fear, brain

Fear is a type of emotion that happens when you are in danger or pain or by any other factors. This emotion happens to all the people. But some people get fears for everything they saw in front of them. Getting release from that hell is very tough. It takes some long time to cure. 

Do you have a fear? I think all of us have fear. But if you get phobia, what will you do? Oh! It’s very scary question! Don’t worry we have a solution now! You can delete your fear now. Yes!

Do you want to wipe it out the fear from your brain?

Now you can erase your fear from your brain. Say thanks to Artificial Intelligence! 

Using Artificial Intelligence and brain scanning technologies researchers have found that we can eliminate specific fears from our mind. This technique is a great solution to treat the patients with conditions such as Post Traumatic Stress Disorder (PTSD) and debilitating phobias.

In a normal method of therapy, doctors force their patients to face their fears in the hope they will learn that the thing they fear isn’t harmful after all. This traditional therapy may take some long time to cure their patients. 

But in an upcoming technique they scan patient’s brain to observe activity and then simply identify complex patterns that mimic a specific fear memory. This technique called as called “Decoded Neurofeedback”.

For their experiment, neuroscientists selected 17 healthy volunteers rather than patients with phobias. For volunteers, researchers have created a mild “fear memory” by giving electrical shock when they saw a certain computer image. Then they started to get fear for certain images, exhibiting symptoms such as sweating, faster heart rate. Once they had the pattern of this fearful memory, researchers attempted to overwrite this natural response by offering the participant a small monetary award.

Once the researcher team was able to spot that specific fear memory, they used Artificial Intelligence AI image recognition methods to quickly read and understand the memory information. This treatment has major benefits over traditional drug based treatments. Someday, doctors could simply remove the fear of height or spiders from people’s memory – the process is going to be very easy and normal in future days. 

Dr. Ben Seymour, University of Cambridge’s Engineering Department said, 

"The way information is represented in the brain is very complicated, but the use of Artificial Intelligence (AI) image recognition methods now allow us to identify aspects of the content of that information. When we induced a mild fear memory in the brain, we were able to develop a fast and accurate method of reading it by using AI Algorithms. The challenge then was to find a way to reduce or remove the fear memory, without ever consciously evoking it."

November 23, 2016 No comments

Google’s A.I. Experiments Quick Draw, Giorgio Cam etc. helps you to play with Artificial Intelligence and Machine learning.

Google is always doing some innovative experiments for its users. For example “Chrome Experiments” is a page where we can see thousands of innovative web apps. They are surprising their users with their new ideas.

ai experiments, Google ai experiments, quick draw, Giorgio Cam, A.I. duet, A.I. Experiments, machine learning, artificial intelligence, experiments ai 

As we all know, Companies are using Artificial Intelligence for their new ideas. Google widely using machine learning technology in their products to better serve its users. For example, if you search for cats in Google Photos it shows all the pictures of cats only. There are lot of animals in this world.  But search results show cats only. How? It’s because of machine learning. It knows what the animals looks like by analyzing thousands of animal pictures and recognizing patterns between them.
 
The machine learning technology is very complex to understand. But Google took some extra steps to make of its machine learning technology more accessible to people who are interested in artificial intelligence. Now it’s very easy to play with machine learning. Now you can explore machine learning by playing with pictures, language, music, code and more.
 
Google introduced a new website called A.I. Experiments. This website contains eight web tools to play. I tried it and I definitely believe that you will love it.
 
Quick Draw is one of the projects in A.I. Experiments. It asks you to draw simple objects like sun, fan, bicycle or anything you want and the computer will automatically guesses what you are drawing. It identifies the right answer in a very quick amount of time. It guesses the answers by collecting the experiences from other people’s doodles.
 


Giorgio Cam uses your Smartphone camera to correctly identify the objects. If you place certain objects in front of your laptop or Smartphone camera Giorgio Cam recognizes the objects and turns them into lyrics to a song. A robot voice sings the word over a Giorgio Moroder beat, resulting in some peculiar music.
 
Google Translate Tech is to translate objects you point at into different languages.
 
All other experiments are also very impressive. Check them out, and get experiences that can technology can do.
November 22, 2016 2 comments
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