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The world of changing work

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 The world of changing work The world is changing. A very big change is the change in the character of the work. Artificial intelligence (AI) and the advent of digital technology around the world are changing the structure and functioning of the economy unimaginably. It took 30 years for IKEA, a well-known Swedish furniture manufacturing company founded in 1943, to expand into Europe, and today, seven decades later, its annual sales are  42 billion; However, the number of users of Chinese e-commerce company Alibaba has reached one million in just two years, with sales of 600 billion in 15 years. This unprecedented prosperity is due to the well-being of an integrated Internet-based digital technology. This is the main theme of the World Bank's 'World Development Report 2019' published a few months ago: The Changing Nature of Work. In developed countries, the number of people working in the manufacturing industry is declining. In countries such as Portugal, Spain, and Singapo

Suddenly getting old!

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Suddenly getting old! From celebs to the general public in the new app In one leap, the age has increased to 40 years. Facebook, WhatsApp, Instagram are full of old people. Time warp? Since Tuesday, there has been a rush to increase one's age all over the world. Curly hair, a little fat, two or three decades later, how it feels to see yourself, the rush to see me in the virtual mirror to know the secret of aging. Just your friend or acquaintance? Hollywood, Bollywood and the sports world are floating in the tide. Nick Jonas and Priyanka's two Deors, actor Arjun Kapoor and Varun Dhawan are on the list. Tottenham Hotspur have also stepped up the age of Harry Kane, the team's captain. Some of the blogs themselves have taken the initiative to make Bollywood superstars, members of the Indian cricket team. This is a mobile app with an artificial intelligence called FaceApp. There are so many apps on Facebook that find a celebrity match with you, even make an old one. But nothing

We are surrounded by artificial intelligence

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We are surrounded by artificial intelligence How do people learn? He does not learn everything at birth. Gains knowledge through various events, studies, hard work, mistakes, etc. over time. It is possible to teach the instrument in the same way. The teacher expelled Rancho from the class in "Three Idiots" because he could not give a literal definition of the instrument. He said that which can reduce human labor is therefore instrumental. We know about performance limitations. But intelligence? There is no less discussion about the limitations of the intelligence of the most intelligent people in the world. There is a lot of practice about what percentage of the brain we are using, or how much we can do. Besides, the idea is to increase the performance of the devices and add intelligence to them. Suppose you search by letter and find a number of names in the phone's call list, but the name of the person you are looking for is immediately called. Your hard work is worth it

‘Intelligent’ fences to prevent cyber attacks

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 ‘Intelligent’ fences to prevent cyber attacks Experts have developed drugs to prevent attacks in the cyber world. Despite this, the attack continues to melt the gap. This time, therefore, scientists want to make the security fence 'intelligent'. For this, artificial intelligence (artificial intelligence) and machine learning technology are being used. Cyber ​​experts say that all the firewalls or antiviruses that have been there for so long to prevent malware or viruses have been working on the basis of certain mathematical formulas or a few familiar tables. But the way hackers are spreading new viruses, they are often attacked by avoiding security fences. That is why the security system needs to be further improved. Debashis Mukherjee, India's country director for a cybersecurity firm, says such cybersecurity technology should include firewalls or antiviruses created with artificial intelligence technology. The potential danger is that the security system will be able to

Want to know how long the relationship will last!

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Want to know how long the relationship will last! The instrument will tell. Everyone is involved in love. But it doesn’t last all the time. But this time you will not be able to know the duration of the relationship through technology. According to a report in the international media, researchers at the University of Southern California have studied how the use of artificial intelligence or artificial intelligence can determine the duration of your relationship. The researchers said the experiments were performed on 134 couples. Artificial intelligence examines the information about how long these lovers have been talking, and the manner in which they are speaking. However, Artificial Intelligence has no problem with what they are talking about during the love affair. The device only captures how long the conversation is going on, and what the tone of voice is like when speaking. From this, the intelligent device can tell exactly how long the relationship of a couple will last.

Time the robot will read the news on TV

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This time the robot will read the news on TV, the news anchor will work in a special way Not humans, robots will work for the newsreader this time. What will that experience be like? See for yourself. Looks like a human. He will also speak in the manner of any news anchor. If it is sad news, that news will fall on your face. He will give happy news with a smile. It doesn't look like 'he' is human. Robots that look like humans will read the news this time. Robot News Anchor has already been made in China. This newsreader will work through the technology of Artificial Intelligence. China's Xinhua News Agency and the country's search engine company Sogou have jointly created the world's first news anchor powered by artificial intelligence. Two such newsreaders have been made public at the World Internet Conference. According to the South China Morning Post and Jinghua, these newsreaders will greatly reduce the cost of running a TV channel. Because they can work 24

AI robot beauty

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A beauty contest, but no make-up or swimsuit round! Competitors do not have to go through any rounds. Only by uploading a selfie will they come to the notice of the judges. However, the condition is: the selfie will be absolute without make-up and without glasses. What is the definition of beauty? Probably a little difficult to say! Despite that there is competition. The beauties also participate in it. One of them takes the crown of excellence after judging the form-color-intellect. One such competition was organized by a Russian company called Youth Laboratories. However, this contest is quite different from other beauty contests. Because there was a computer program in the judge's seat. ‘Naturally Beautiful’ is judged with the help of a program called ‘Beauty.ai’. Competitors do not have to go through any rounds. Only by uploading a selfie will they come to the notice of the judges. However, the condition is: the selfie will be absolute without make-up and without glasses. After

Brief Intro - Computer Vision (CV)

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Introduction to Computer Vision (CV) It is often abbreviated as CV, is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. The problem of CV appears simple because it is trivially solved by people, even very young children. Nevertheless, it largely remains an unsolved problem based both on the limited understanding of biological vision and because of the complexity of visual perception in a dynamic and nearly infinitely varying physical world. Introduction to the field of Computer Vision (CV). The goal of the field of CV and its distinctness from image processing. What makes the problem of CV challenges. Typical problems or tasks pursued in a CV. Overview Divided into four parts: The desire for Computers to See What Is CV Challenge of CV Tasks in CV The desire for Computers to See We are awash in images. Smartphones have cameras, and taking a photo or video and sharing it has n

Unsupervised Machine Learning

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Unsupervised Machine Learning Unsupervised machine learning algorithms infer patterns from a dataset without reference to known or labeled, outcomes. Unlike supervised machine learning, unsupervised machine learning methods cannot be directly applied to regression or a classification problem because you have no idea what the values for the output data might be, making it impossible for you to train the algorithm the way you normally would. Unsupervised learning can instead be used to discover the underlying structure of the data. Why? It purports to uncover previously unknown patterns in data, but most of the time these patterns are poor approximations of what supervised machine learning can achieve. Additionally, since you do not know what the outcomes should be, there is no way to determine how accurate they are, making supervised machine learning more applicable to real-world problems. The best time to use unsupervised machine learning is when you do not have data on desired outcome

Supervised Machine Learning

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Supervised Machine Learning It provides you with a powerful tool to classify and process data using machine language. With supervised learning you use labeled data, which is a data set that has been classified, to infer a learning algorithm. The data set is used as the basis for predicting the classification of other unlabeled data through the use of machine learning algorithms. ▪   Linear Regression, and ▪  Classification Techniques. Linear Regression It is a supervised learning technique typically used in predicting, forecasting, and finding relationships between quantitative data. It is one of the earliest learning techniques, which is still widely used.  For example, this technique can be applied to examine if there was a relationship between a company’s advertising budget and its sales. You could also use it to determine if there is a linear relationship between particular radiation therapy and tumor sizes. Classification Techniques The classification techniques that will be discu