Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future. From SIRI and Google Assistant to self-driving car Future of Artificial Intelligence,

artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future
Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Artificial Intelligence (AI) is a perfect example of how sometimes science moves more slowly than we would have predicted. In the first flush of enthusiasm at the invention of computers it was believed that we now finally had the tools with which to crack the problem of the mind, and within years we would see a new race of intelligent machines. We are older and wiser now. The first rush of enthusiasm is gone, the computers that impressed us so much back then do not impress us now, and we are soberly settling down to understand how hard the problems of AI really are.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

So hat will happen in the next 30 years ?

Over the next thirty years is that will see new types of animal-inspired machines that are more `messy’ and unpredictable than any we have seen before. These machines will change over time as a result of their interactions with us and with the world. These silent, pre-linguistic, animal-like machines will be nothing like humans but they will gradually come to seem like a strange sort of animal. Machines that learn, familiar to researchers in labs for many years, will finally become mainstream and enter the public consciousness.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future
Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Super intelligent algorithms aren’t about to take all the jobs or wipe out humanity. But software has gotten significantly smarter of late. It’s why you can talk to your friends as an animated poop on the iPhone X using Apple’s Animoji, or ask your smart speaker to order more paper towels.

Tech companies’ heavy investments in AI are already changing our lives and gadgets, and laying the groundwork for a more AI-centric future.

The current boom in all things AI was catalyzed by breakthroughs in an area known as machine learning. It involves “training” computers to perform tasks based on examples, rather than by relying on programming by a human. A technique called deep learning has made this approach much more powerful. Just ask Lee Sedol, holder of 18 international titles at the complex game of Go. He got creamed by software called AlphaGo in 2016.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future
Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

For most of us, the most obvious results of the improved powers of AI are neat new gadgets and experiences such as smart speakers, or being able to unlock your iPhone with your face. But AI is also poised to reinvent other areas of life. One is health care. Hospitals in India are testing software that checks images of a person’s retina for signs of diabetic retinopathy, a condition frequently diagnosed too late to prevent vision loss. Machine learning is vital to projects in autonomous driving, where it allows a vehicle to make sense of its surroundings.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

The Future of Artificial Intelligence

Even if progress on making artificial intelligence smarter stops tomorrow, don’t expect to stop hearing about how it’s changing the world.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Big tech companies such as Google, Microsoft, and Amazon have amassed strong rosters of AI talent and impressive arrays of computers to bolster their core businesses of targeting adsor anticipating your next purchase.

They’ve also begun trying to make money by inviting others to run AI projects on their networks, which will help propel advances in areas such as health care or national security. Improvements to AI hardware, growth in training courses in machine learning, and open source machine-learning projects will also accelerate the spread of AI into other industries.

YOUR AI DECODER RING

Artificial intelligence

The development of computers capable of tasks that typically require human intelligence.

Machine learning

Using example data or experience to refine how computers make predictions or perform a task.

Deep learning

A machine learning technique in which data is filtered through self-adjusting networks of math loosely inspired by neurons in the brain.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Supervised learning

Showing software labeled example data, such as photographs, to teach a computer what to do.

Unsupervised learning

Learning without annotated examples, just from experience of data or the world—trivial for humans but not generally practical for machines. Yet.

Reinforcement learning

Software that experiments with different actions to figure out how to maximize a virtual reward, such as scoring points in a game.

Artificial general intelligence

Meanwhile, consumers can expect to be pitched more gadgets and services with AI-powered features. Google and Amazon in particular are betting that improvements in machine learning will make their virtual assistants and smart speakers more powerful. Amazon, for example, has devices with cameras to look at their owners and the world around them.

 

The commercial possibilities make this a great time to be an AI researcher. Labs investigating how to make smarter machines are more numerous and better-funded than ever. And there’s plenty to work on: Despite the flurry of recent progress in AI and wild prognostications about its near future, there are still many things that machines can’t do, such as understanding the nuances of language, common-sense reasoning, and learning a new skill from just one or two examples. AI software will need to master tasks like these if it is to get close to the multifaceted, adaptable, and creative intelligence of humans. One deep-learning pioneer, Google’s Geoff Hinton, argues that making progress on that grand challenge will require rethinking some of the foundations of the field.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

As AI systems grow more powerful, they will rightly invite more scrutiny. Government use of software in areas such as criminal justice is often flawed or secretive, and corporations like Facebook have begun confronting the downsides of their own life-shaping algorithms. More powerful AI has the potential to create worse problems, for example by perpetuating historical biases and stereotypes against women or black people. Civil-society groups and even the tech industry itself are now exploring rules and guidelines on the safety and ethics of AI. For us to truly reap the benefits of machines getting smarter, we’ll need to get smarter about machines.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Here are few things you need to know before the robots take over the world:

1. Artificial intelligence is developing faster than you think, and speeding up exponentially

Humans tend to think in straight lines, but every aspect of technological progress is actually accelerating – including AI.

2. You use artificial intelligence all day, every day

Siri, Google Now, and Cortana are obvious examples of artificial intelligence, but AI is actually all around us. It can be found in vacuum cleaners, cars, lawnmowers, video games, Hollywood special effects, e-commerce software, medical research and international finance markets – among many other examples.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

3. Robots are definitely going to take your job

Yeah, I know you’re a special flower and everything, but the work you do is either already automatable or will be very soon. How soon? Most jobs will be done by robots within 30 years, says professor Moshe Vardi of Rice University, leading to unemployment rates greater than 50%. That might sound bad, but many academics studying the field believe that technological unemployment will open the door to a future where work is something people do for pleasure, not out of necessity. Proposals such as universal basic income are the beginnings of a societal support structure that could eventually allow this to become a reality.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

4. About half of the AI community believes computers will be as smart as humans by 2040

In 2013, two researchers surveyed hundreds of AI experts on when they thought there was a 50/50 chance that human-level artificial intelligence will arrive. The median answer was 2040 – only 24 years from now. The average life expectancy in the UK is 82 years, meaning that there’s a heads/tails chance that a 58-year-old today will see computers as smart as humans in their lifetime.

5. A lot of smart people think developing artificial intelligence to human level is a dangerous thing to do

Once machines are as intelligent as a human, a lot of worrying things can happen. There’s little chance that AI development would cease at that point (the AI would almost certainly begin working on improving itself) and many very smart people – including Stephen Hawking and Elon Musk – think that this situation would be very scary indeed. “If I had to guess at what our biggest existential threat is, it’s probably that. So we need to be very careful,” said Musk during a recent interview. “I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

6. Once artificial intelligence gets smarter than humans, we’ve got very little chance of understanding it

Tim Urban, “We will never be able to even comprehend the things a [super intelligent AI] can do, even if the machine tried to explain it to us – let alone do it ourselves. It could try for years to teach us the simplest inkling of what it knows and the endeavor would be hopeless.”

7. There’s no such thing as an “evil” artificial intelligence

Contrary to what we see in sci-fi and movies, AI can’t be evil. That’s a human concept. An AI can do unspeakably horrible things, but it doesn’t do them out of sheer wickedness – it does them simply because that’s what it has been programmed (intentionally or accidentally) to do.

8. There are three ways a superintelligent artificial intelligence could work

AI expert Nick Bostrom, in his fantastic book Super intelligence: Paths, Dangers, Strategies, classifies three ways in which a super intelligence could operate. An “oracle” would be able to answer questions with a good degree of accuracy. A “genie” would do anything it is commanded to do and then await the next command, while a “sovereign” would be assigned an overarching goal and then be allowed to operate in the world and make decisions about how best to accomplish that goal. For the reasons above, the former is much less scary than the latter.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

9. Artificial intelligence could be the reason why we’ve never met alien

It’s entirely possible that the reason we’ve never met aliens is because they invented artificial intelligence before they could build spaceships capable of interstellar travel, and that discovery caused their extinction.

10. Basically, there’s a good chance we’ll be extinct or immortal by the end of the century

The world of AI research is roughly split into optimists and pessimists. The optimists hope that we’ll one day invent a super intelligence that solves every problem we can imagine and leads us into a Utopian future where all of mankind’s needs are met and everyone lives happily ever after. The pessimists are concerned that one tiny mistake along the way will lead to the swift end of the human race – as an AI programmed to solve climate change, for example, identifies that humans are the number one obstacle to doing so.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Everyday uses of Machine Learning and AI that you may not be aware of.

Here are 5 common uses of AI that you may not have known before:

  1. Communication: Spam filters, powered by AI, streamline the amount of spam appearing in your inbox. As email senders (real or automated) become more careful with selecting words which have not been flagged previously, the filters need to adapt and continue to learn based on words that the user also flags. There is an added component of ML in this, in that through the algorithms already in place by the email provider, additional filters are then created.  Google takes it even further by continuously learning the types of email messages which are marked as “important”.

  2. Travel: If you have taken a ride using Uber or Lyft, you have experienced ML (Machine Learning), which is used to predict rider demand and to calculate ETA( Estimated Time of Arrival). The airline industry uses AI, since autopilot qualifies as AI, where it is estimated that “human steered” flight time is only seven minutes of actual flight length.

  3. Social networking: When we use Facebook to share photos, the artificial intelligence is able to detect faces in the image and suggest a name to tag the person. Facebook has continued to add new features as part of its AI Initiative, to generate a more personalized and interactive user experience. Some social media sites, such as Twitter, generate lists of accounts to follow, chats to join, and news feeds of interest based on an analysis of user input and data. Even Google with its “cards” can provide a variety of personal recommendations based on your search history.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

  1. Online Shopping: One that comes to mind quickly is Amazon, and how it suggests items you may be interested in, as a result of your prior searches and order history. Systems are in place to protect consumers against fraud, with alerts being sent almost simultaneously to an attempted transaction that is not recognized as a “typical” purchase or located in a non-home base location. All of this done through AI, which is used for identifying fraudulent transactions.

  2. Education: Teachers and students have a wide range of tools available, ranging from Google Searches, in which alternate search terms are instantly suggested, citation generators, plagiarism checkers, and even Siri has become a popular tool for searches. An astounding amount of information generated instantly, far more advanced from thirty years ago and society’s reliance on card catalogs, calculators and books/

 

New Jobs that will take place in future due to AI.

Man-Machine Teaming Manager

According to Cognizant, the future of work will be based on how well companies blend and extend the abilities of humans and machines by making them collaborative. So this role involves combining the strengths of robots/AI software (accuracy, endurance, computation, speed, etc.) with the strengths of humans (cognition, judgment, empathy, versatility, etc.) to create augmented hybrid teams that generate better business outcomes.

AI Business Development Manager


There is still one thing that AI cannot do, and won’t be able to do for the foreseeable future: Sell itself. That’s where AI business development professionals come in. The role involves working closely with sales & marketing teams to position AI services for customers and partners, and providing guidance on the value proposition and benefits achievable with AI services, platforms, frameworks and infrastructure.

Future of Artificial Intelligence its Applications, How it works ? and what kind of jobs it will create in future

Data Detective

The job will entail generating meaningful business answers and recommendations from studying date generated by Internet of Things end points, devices, sensors, biometric monitors, traditional computing infrastructure, next-gen fog, mesh, edge, neural capabilities, etc. Currently, much of the data collected in these areas goes unexamined.

Bring Your Own IT Facilitator (BYOITF)


While the role involves creating a work environment that exploits digital trends and encourages shadow-IT innovation, the goal of a good BYOITF would be to provide business users with the flexibility to compile their own mobile and collaborative environments. Imagine creating an automated self-service platform that lets users select the desired applications as well as build virtual assistants to help employees work better and smarter without compromising data control, security, governance and compliance.

AI-Assisted Healthcare Technician

In the future, healthcare, supercharged by AI technology, will be available at scale and on-demand to all. In-depth patient care and diagnosis will no longer remain the preserve of doctors with several years of qualifications. That’s when AI-assisted healthcare technicians will mushroom, showing up at patients’ doorsteps to examine, diagnose and administer appropriate treatment, aided by cutting-edge technology and remotely accessible doctors. With the help of AI, even those with a nursing degree will be able to perform certain surgeries.

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