AI (Artificial Intelligence) in the contemporary world
#Artificialintelligence
We are in the midst of a technological revolution in which everything is just a click away and machines are growing increasingly intelligent in order to take over human control. Since the famous Harvard Business Review article by Thomas and Patil, which named Data Scientist as the sexiest job for the twenty-first century, buzzwords like Artificial Intelligence (AI), Big Data, Machine Learning (ML), Deep Learning (DL), and others have dominated the search engines, indicating that these will be the driving force behind every other business sector by the twenty-first century.
Artificial intelligence is, at its most basic level, intelligent behaviour demonstrated by machines rather than people. Computer scientists are required in the development of AI since they must study how the system reacts to various circumstances. When the machine observes new scenarios, the computer scientist must be able to direct it on what to do.
It is a broad tool that allows individuals to reevaluate how they combine data, evaluate it, and apply the insights gained to make better decisions. Regardless of the lack of general familiarity, artificial intelligence (AI) is a technology that is revolutionising every aspect of life. The ultimate objective of artificial intelligence (AI) is for machines to reason and act logically in the same way that humans do.
Artificial intelligence is now being used to create intelligent devices to assist individuals in need. Companies have been utilising artificial intelligence in equipment for years, and factories are becoming much more automated every day. Robots are taking over the globe, entering a wide range of work sectors and displacing humans in positions such as transport, medical operations, military applications, and even residential and manufacturing industries.
History of Artificial Intelligence:
Artificial intelligence has been transforming the globe and posing significant societal, economic, and governance challenges for ages now.
When it comes to artificial intelligence's history, some individuals believe it originated in ancient times since AI, or a variation of it appears in mythology. It first featured in Greek mythology in the narrative of Hephaestus. Hephaestus had several projects that looked to think and feel as though they were living, but they were only metal inventions, according to the tale. Talos, a massive bronze warrior created by Hephaestus, was programmed to guard the isle Hephaestus built. Aside from Talos, Hephaestus had numerous more creations. The fact that they were composed of metal would be the only way to determine they weren't living.
Descartes, a French philosopher, suggested in the 17th century that animal bodies are the same as complicated biological machines. This is significant because Descartes' theory implied that artificial intelligence might be achieved if mankind could already build complicated machines.
The programmable mechanical calculating machine was invented by Charles Babbage and Ada Byron, well known by her married name of Ada Lovelace, in the 19th century.
In 1912, a Spanish engineer and mathematician called Leonardo Torres y Quevedo invented El Ajedrecista, a technology that is still used today. By having it play chess, he was able to demonstrate that mathematics could reproduce what people regarded as the mind.
Main Uses of Artificial Intelligence:
Artificial intelligence is becoming a part of our daily life. Programmers are always looking for new ways to teach computers how to cluster and learn from examples so that they may understand what the programmer is attempting to teach.
Artificial intelligence is used by websites like Turnitin and other anti-plagiarism tools to try and prevent people from taking and passing off ideas to be their own. The spam filter in your email is another function that many people are unaware is controlled by artificial intelligence. When shifting spam to a certain folder, it can't only filter out specific terms since the individuals or corporations sending the emails might soon figure out how to get around the spam filter. Because it is continuously learning what terms, sentences, and information about who is sending these emails, the spam filter is artificially intelligent. Movie streaming services are another easy illustration of this. They must go over your prior viewed shows, together with your ratings, in order to locate new series to make recommendations. A new type of artificial intelligence is also being used by Netflix to assist with video encoding.
Meghan Coyle had this to say about Netflix's Dynamic Optimizer:
“The Dynamic Optimizer makes it easier for those customers to watch videos without rebuffering. At the Mobile World Congress, Netflix demonstrated the new technology, showing that the image quality doesn’t decrease drastically at different bandwidths. Netflix partnered with the University of Southern California and the University of Nantes to create the new technology. Participants rated the image quality of thousands of shots and the data helped train the AI. The AI optimizes each scene so that colourful, action-packed sequences get more bandwidth than the lingering shots. Dynamic Optimizer will not only improve the video quality for mobile viewers; it will also help free up capacity on carriers’ networks, which could improve the mobile experience for everyone.” (Coyle, 2017)
Because AI is the cornerstone of computer learning, artificial intelligence is very crucial to our future. Computers can harness huge volumes of data and utilise their learned intelligence to make optimum judgments and discoveries in fractions of the time it takes people. Artificial intelligence has been attributed with anything from breakthroughs in cancer research to cutting-edge climate science study.
Machine Learning (ML), an AI application, comes into play, allowing machine systems to automatically learn and improve from their prior experiences without the need to be explicitly programmed. ML has blessed us with autonomous self-driving vehicles, successful online search, realistic speech recognition, and a greatly increased knowledge of the human genome thanks to the advent of AI in the last decade. Though many people are unaware of what artificial intelligence is, it has infiltrated our lives in such a way that many of us are now utilising it on a daily basis without even realising it. Furthermore, many machine scientists believe that in the future, robots will have human-level AI.
Following are some of the main fields that have been optimized using AI:
Healthcare: Diseases are more quickly and reliably diagnosed, medication research is ramped up and optimized, virtual nursing assistants help in the treatment of the patients, and advanced analytics helps to provide more customised customer care in the comparably AI-nascent sector of healthcare.
Transportation: Despite the fact that developing autonomous vehicles might take a decade or more, they will one day move us from one location to another. When it comes to concentrating on the workplace and the rest of the world, one type of artificial intelligence that is widely used is smart automobiles. Artificial intelligence is being used by car makers all around the world in almost every aspect of the manufacturing process. Robots putting together the first nuts and bolts of a car or an autonomous automobile utilising machine learning and vision to safely navigate through traffic are examples of AI in action. Smart cars employ sensors to examine their environment and then make judgments based on that knowledge. The utilisation of these sensors and rapid thinking will help workers execute their jobs better, but it's doubtful that the autonomous system would be totally self-contained. If an autonomous car is heading to a location, it would be nice if there was someone in the vehicle observing everything and ready to take control if one of the systems failed.
Education: With the aid of AI, textbooks are digitised, early-stage online instructors aid human teachers, and face analysis assesses students' emotions to help discern who is suffering or uninterested, and better tailor the experience to their specific needs.
Manufacturing: AI-powered robots assist people with a restricted range of activities such as assembling and stacking, while predictive analytical sensors ensure that machinery operates properly.
Customer service: Google is developing an AI assistant that can make human-like phone calls to arrange appointments at your local hair salon, for example. The technology fully understands context and complexity in addition to words.
Media: Journalism, too, is utilising AI and will continue to gain from it. The Associated Press uses Automated Insights' natural language capabilities to generate 3,700 earnings reports stories every year, approximately four times more than in the past. Bloomberg makes use of Cyborg technology to help with the comprehension of complex financial data.
Types of Artificial Intelligence:
With firms spending roughly $20 billion on AI goods and services each year, big things are sure to happen. Tech titans like Google, Apple, Microsoft, and Amazon have to spend billions to end up creating those items/solutions, academic institutions making AI a much more influential part of their curriculum content, and the Departments Of Defence upping its AI game. Some of these advancements are well on their way to becoming completely accomplished, while others are only theoretical and may stay such in the future. All are turbulent, for better or worse, and there is no sign of a slowdown on the horizon.
There are four types of AI( Artificial Intelligence):
Reactive Machines
A reactive machine is governed by the most basic AI principles and is exclusively capable of observing and reacting to the surroundings around it, as the name implies. Since a reactive machine has no memory, it is unable to make real-time decisions based on prior experiences. Reactive machine artificial intelligence may achieve a degree of complexity and dependability when designed to accomplish recurring tasks, despite its restricted scope and inability to be readily updated.
Google's AlphaGo is an example of a game-playing reactive computer. AlphaGo is also unable to predict future plans, instead of relying on its own neural network to assess current game developments, giving it an advantage over Deep Blue in a more complex game. AlphaGo has also defeated world-class Go players, including Lee Sedol, the 2016 Go champion.
Limited Memory
When gathering information and considering prospective options, artificial intelligence with limited memory has the capacity to remember prior facts and forecasts, basically peering into the past for indications on what could happen ahead. Artificial intelligence with limited memory is more complicated and has more potential than reactive machines.
There are three primary machine learning methods that use artificial intelligence with limited memory:
Reinforcement learning is a type of machine learning that learns to produce better predictions via trial and error.
Long Short Term Memory (LSTM) is a type of memory that uses previous information to anticipate the next item in a sequence.
With each new choice, Evolutionary Generative Adversarial Networks (E-GAN) grow over time, evolving to explore slightly different routes depending on prior experiences.
Theory of Mind
Theory of Mind is merely theoretical. We haven't yet developed the technology and scientific capabilities required to advance artificial intelligence to the next level. The idea is based on the psychological assumption that other living creatures have emotions and opinions that impact one’s personal behaviour.
Self-awareness
The ultimate stage for AI to become self-aware will be to build a Theory of Mind in artificial intelligence, which will happen sometime in the future. This sort of artificial intelligence is aware of its own existence in the surroundings as well as the presence and emotional state of others on a human level. It would be able to figure out what others could need depending on not only what people say, but also how they have said it.
In today's culture, artificial intelligence and automated devices are fast gaining popularity. They provide tailored solutions for popular services while also improving global efficiency. AI will continue to be incorporated into new aspects of life as it improves over time. With more data to evaluate, these AI algorithms will become more adaptable in their field of specialisation. People should be aware of AI's capabilities and strive to apply them in novel ways in society. Some people will lose their employment as a result of automation, but society as a whole will be so much more productive. People are unsure what sorts of changes will occur as a result of this creative technology, but it is certain that whole new vocations will emerge as a result of these developments.
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- Comments (17)
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Ingeborgenzwerm
3 years ago
Thank you for sharing this interesting topic, saved it to continue reading this week quietly.
2
Alison Tennent - The Garrulous Glaswegian
3 years ago
I'm looking forward to automated cars becoming really normalised, and would love a robot to do the household chores - hopefully AI technology will contribute to this.
enigma
3 years ago
It's incredible how deep it has penetrated our lives. I think the self-awareness creepy.
Rosita&Charlene-Blogs-Creaties
3 years ago
Very good underwork and I'll hit it up for a while because tonight I think I'm going to read it even more quietly.
Freli
3 years ago
Artificial intelligence has proven itself as a great capacity for the future
Daniel
3 years ago
In fact, artificial intelligence has seen that revolutionized many sectors of work could be a good idea.
Alfred
3 years ago
A great informative post, technology has come to our life to revolutionize everything.
Leo 1
3 years ago
Well written article on a topic which certainly has my attention.
Rudy Siedlecki 🌳
3 years ago
Maybe artificial intelligence can teach us to live back a few days without the internet.
Dewaputra
3 years ago
Good detailed post about what artificial intelligence actually is. Thanks for sharing.
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