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Engineering Education and its Challenges

India has more than ten thousand engineering institutions and more than fifteen students graduate from these institutions every year. Appropriately, a large amount and a lion’s share of world engineering talent. Often we see that engineering education has been transformed around old monsters such as civil engineering or mechanical or electronic engineering, leaving them with very few opportunities in the real world. Therefore, there is a great need to re-engineering engineering NBA accredited colleges in India. The IT sector is moving at a much faster pace than educational institutions are. The Agenda for Industrialization and Education is weak. Thus, the educational industry gap remains. The engineering education strategy needs to be differentiated by new spinal technology courses. Significant advances in knowledge, use of communication, communication, and creative ability create great opportunities for the mind, and students must reduce the barriers to traditional discipline in ways that have never been seen before. There is much to be gained by bringing the curriculum to include new age lessons in machine learning, Blockchain, and other existing technologies and the curriculum should break down the barriers between engineering and science methods and give students the opportunity to connect the dots. The key to unlocking a new paradigm shift of jobs in engineering for the next generation of skilled minds lies in higher rethinking, higher education in engineering and science in best private engineering colleges in India and the following lines.

How can we prepare engineers for jobs tomorrow? In today’s competitive world, postgraduate engineering no longer guarantees job security. Future engineers will need more technology and skills to adapt to the rapid digitization of industries. Keep in mind that the Indian IT industry is almost 40 years old when industries over decades, need to adapt and overcome advanced technologies and business models. What we are seeing now is a combination of rapid technological evolution towards the transformation of the digital and new-tech and business model into the continued growth of additional revenue. The need to re-use Indian technical skills arises from this combination. Also, in order to adapt to changing circumstances, students should look for opportunities to develop their skills and gain experience in the agricultural sector in real life applications.

The point of today’s integration of students is that they work in terms of numerical functionality, making it easier for them to adapt to modern engineering concepts. Machine Learning and Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, BOTS, Intelligent Apps, cloud deployment as a Advanced for 2018 and as we enter 2019, this technology will continue and building design mechanisms. Also, government and educational institutions provide platforms to encourage new thinking in new students. Engineering will continue to be a viable radio in the years to come. Challenges and hopes India’s problem with undergraduate engineering education. Apart from IIT and other prestigious institutions most private engineering colleges are unable to provide education to students that will get them suitable jobs. Also, the cause of this problem is burning low engineering colleges over the years. As students from such colleges fail to find suitable employment, they are experiencing declining student enrollment. According to the report they estimate that 80% of students working in engineering degrees are now unemployed. They are not blind students, and engineering education did not come with timing. Therefore, in this rapidly changing world, engineers need training to deal with the various difficulties and uncertainties of today’s world. Ensuring that they are provided with practical solutions that they must work on to meet current needs.

[dispulsion]

What is Artificial Intelligence? AI 101, All About ...

What is Artificial Intelligence ?

Artificial Intelligence is an ability of a machine to learn and take a decision like human does in the same situation, Artificial Intelligence, which is also known as A.I. or machine learning,  is the simulation of human intelligence processes by machines, especially computer systems. This Process includes learning, responding and self-improvement.

What are the types of AI?

There are 3 types of AI. These are ANI, AGI, and ASI. Explore other articles from dispulsion.com for elaborated discussion of the topics.

What can AI be used for?

Artificial intelligence can be used in various fields such as finance, banking, medical sector, transportation, etc. Artificial Intelligence refers to the branch of computer science which deals with the intelligence performed by software and machines, like a human brain.

Why do we use artificial intelligence?

Artificial intelligence is really just a program or machine's having abilities to learn and think for itself in such a way that it is capable of developing skills as it practices and gather experiences. Its purpose is supporting and enhancing human activities.

What is the goal of artificial intelligence?

The Goal of Artificial In is to become rational and responsive as human being or more, so that it may replace the presence of a human in various fields. But what would be the future with A.I., will it be a remedy for mankind or one day "It will take over the world". Well, who knows, what's the future.

Is artificial intelligence a software?

Yes, artificial intelligence is a software which supports many many corporates these days to perform various task on autopilot mode, which is now profitable through cheaper and more powerful AI. Natural Language Processing (NLP) enables AI to respond appropriately to human speech.

How much do AI programmers make?

According to Indeed.com, the average IT salary – the keyword is "artificial intelligence engineer" – in the San Francisco area ranges from approximately $134,135 per year for a software engineer to $169,930 per year for machine learning engineer. However, it can go much higher if you have the credentials firms need.

Is programming required for artificial intelligence?

You can use any standard computer programming languages for developing artificial intelligence, there is no such language in which you can't implement Artificial Intelligence or Machine Learning. Some common languages are C and Python.

Is artificial intelligence a good career?

One of the leading careers in artificial intelligence is the job of the research scientist. Research scientists are in very high demand and easily get an annual minimal salary of $99,902. Like data scientists, research scientists often are expected to have an advanced masters or doctoral degree in computer science.

Artificial intelligence is by turns terrifying, overhyped, hard to understand and just plain awesome. For an example of the last, researchers at the University of California, San Francisco were able this year to hook people up to brain monitors and generate natural-sounding synthetic speech out of mere brain activity. The goal is to give people who have lost the ability to speak — because of a stroke, A.L.S., epilepsy or something else — the power to talk to others just by thinking. That’s pretty awesome. One area where A.I. can most immediately improve our lives may be in the area of mental health. Unlike many illnesses, there’s no simple physical test you can give someone to tell if he or she is suffering from depression. Primary care physicians can be mediocre at recognizing if a patient is depressed, or at predicting who is about to become depressed. Many people contemplate suicide, but it is very hard to tell who is really serious about it. Most people don’t seek treatment until their illness is well advanced. Using A.I., researchers can make better predictions about who is going to get depressed next week, and who is going to try to kill themselves. The Crisis Text Line is a suicide prevention hotline in which people communicate through texting instead of phone calls. Using A.I. technology, the organization has analyzed more than 100 million texts it has received. The idea is to help counselors understand who is really in immediate need of emergency care. You’d think that the people most in danger of harming themselves would be the ones who use words like “suicide” or “die” most often. In fact, a person who uses words like “ibuprofen” or “Advil” is 14 times more likely to need emergency services than a person who uses “suicide.” A person who uses the crying face emoticon is 11 times more likely to need an active rescue than a person who uses “suicide.” On its website, the Crisis Text Line posts the words that people who are seriously considering suicide frequently use in their texts. A lot of them seem to be all-or-nothing words: “never,” “everything,” “anymore,” “always.” Many groups are using A.I. technology to diagnose and predict depression. For example, after listening to millions of conversations, machines can pick out depressed people based on their speaking patterns. When people suffering from depression speak, the range and pitch of their voice tend to be lower. There are more pauses, starts, and stops between words. People whose voice has a breathy quality are more likely to reattempt suicide. Machines can detect this stuff better than humans. There are also visual patterns. Depressed people move their heads less often. Their smiles don’t last as long. One research team led by Andrew Reece and Christopher Danforth analyzed 43,950 Instagram photos from 166 people and recognized who was depressed with 70 percent accuracy, which is better than general practice doctors. There are other ways to make these diagnoses. A company called Mindstrong is trying to measure mental health by how people use their smartphones: how they type and scroll, how frequently they delete characters. In his book “Deep Medicine,” which is about how A.I. is changing medicine across all fields, Eric Topol describes a study in which a learning algorithm was given medical records to predict who was likely to attempt suicide. It accurately predicted attempts nearly 80 percent of the time. By incorporating data of real-world interactions such as laughter and anger, an algorithm in a similar study was able to reach 93 percent accuracy. I had a chance to interview Topol last weekend at the Aspen Ideas: Health conference. He emphasized how poor we are at diagnosing disease across specialties and figuring out when to test and how to treat. When you compare a doctor’s diagnosis to an actual cause of death as determined by an autopsy, you find that doctors are wrong a lot of the time. Three-quarters of patients taking one of the top 10 drugs by gross sales do not get the desired or expected benefit. Medicine is hard because, as A.I. is teaching us, we’re much more different from one another than we thought. There is no single diet approach that is best for all people because we all processed food in our own distinct way. Diet, like other treatments, has to be customized.

History / Timeline of Artificial Intelligence !

You can be freaked out by the privacy-invading power of A.I. to know you, but only A.I. can gather the data necessary to do this. The upshot is that we are entering a world in which people we don’t know will be able to understand the most intimate details of our emotional life by observing the ways we communicate. You can imagine how problematic this could be if the information gets used by employers or the state. But if it’s a matter of life and death, I suspect we’re going to go there. At some level, we’re all strangers to ourselves. We’re all about to know ourselves a lot more deeply. You tell me if that’s good or bad. The Times is committed to publishing a diversity of letters to the editor. We’d like to hear what you think about this or any of our articles. Here are some tips. And here’s our email: contact@dispulsion.com. Read the full article

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Artificial Intelligence has paved its way into the Core of the Businesses by making the Machines Capable of Performing the tasks in a way Humans do. It is Considered as a Vital Element for Business Growth and Expansion. The Vitali of Artificial Intelligence in Businesses Develops Prospective Career aspects too. The Demand for AI Professionals is expected to Escalate with a boom in the Artificial Intelligence Market.

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