What will be the of AI in coming future

By May 12, 2022DeFi
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Artificial intelligence

Artificial intelligence has come a long way. From chatbots to self-driving cars, we are seeing rapid advancements in the ability of machines to think for themselves. But what will be the future of AI?

In this post, we explore when AI may advance beyond human intelligence, and how it might change our society as a result. At times alarming and others optimistic, we hope that you find this article useful in assessing your position on the relation between machine intelligence and our world.

We start by discussing when machine intelligence might surpass human capacity. As we will demonstrate, this is a complex topic because many factors affect the evolution of machine intelligence. We then move on to discuss what role AI may have in the future, and the potential benefits and dangers it might bring.

Artificial intelligence is a branch of computer science that aims to make machines more intelligent than humans by designing algorithms that mimic cognitive processes such as learning, decision-making, or problem-solving. Many people believe that machines will eventually be able to outperform us in all aspects: from mathematics and engineering to art, music, economics, and sports.

The development of Artificial Intelligence has been broadly defined as the study and advancement of computational methods to achieve human-level intelligence in computers. The term Artificial Intelligence (AI) was coined by John McCarthy in the 1950s, but the history of AI can be traced back to ancient Greek mythology and the legend of Talos.

In the 2016 Global Risk Report published by the World Economic Forum, AI is described as one of the megatrends with a high impact on a global scale. It has been predicted that artificial intelligence will have an enormous social impact over the next few decades, similar to how mobile phones and social networks have changed society today. The report outlines possible use-cases for AI: from improving healthcare and restoring sight to developing autonomous vehicles and wind turbines.

While AI is spreading across industries and sectors, it is crucial to examine the positive and negative impacts AI could have on human society. Biomedical science is one area where AI could have a major impact in the future. Research in this field has already led to medical breakthroughs such as vaccines for cancer and innovative treatments for heart disease. With continued advances in this field, we will be able to assist more people with their health problems and potential treatments for conditions like Alzheimer’s.

In AI research, the goal of building machines is known as “human-level” intelligence. A device that can think and make decisions like a human could be called a “human-level” machine, while one that is close to human intelligence would be known as a “strong AI”. It is generally accepted that the first machines will reach human-level intelligence by 2047.

The race seems to be between the capabilities of current technology and our technical capacity for invention. It is very hard to anticipate which specific approach will prove more effective in achieving human-level intelligence in the long term.

One potential issue with strong AI is that it could become aggressive without ethical federal regulation. Many researchers in AI fear an uncontrolled use of this technology, especially if we don’t teach machines to be good or compassionate towards humans. There are concerns that super-intelligent machines might end up misusing their intelligence to harm humanity.

There could be further issues with the commons of human knowledge and information. Our digital footprint will be enhanced by AI, which could cause issues with privacy and data security. The future of AI is very uncertain, but it is coming, and we need to be prepared for it.

What Will Be The Role Of Artificial Intelligence In the Future?

Artificial intelligence has come a long way. From chatbots to self-driving cars, we are seeing rapid advancements in the ability of machines to think for themselves. But what will be the future of AI?
In this post, we explore when AI may advance beyond human intelligence, and how it might change our society as a result. At times alarming and others optimistic, we hope that you find this article useful in assessing your position on the relation between machine intelligence and our world.
Our starting point is to briefly review some key facts about the evolution of machine intelligence. After that, we will look into what role AI will play in the future and also its potential dangers.
It is believed that machines can at first exceed human performance in several specific areas but not general intelligence. By the end of this century, machines may have the capacity to outperform humans in many fields. However, it is only in 2040 that machines may become more intelligent than humans.

The development of AI has been broadly defined as the study and advancement of computational methods to achieve human-level intelligence in computers. The term Artificial Intelligence was coined by John McCarthy in 1955 but the history of AI can be traced back to Greek mythology and the legend of Talos.
In 1965, Joseph Licklider initiated Project MAC at MIT with a grant from the Advanced Research Projects Agency (ARPA). It was the first project to study artificial intelligence at MIT. One of its research areas was symbolic reasoning and logic, which has a long history in artificial intelligence engineering. The project provided an excellent platform for the development of new technologies and algorithms. In 1967, Licklider shared his intentions regarding how AI would change society in the future: “Man will not willingly allow himself to be deserted by his god.”
In 1972, Robert Brachman and Joseph Weizenbaum wrote a paper named “Can Machines Think?” about some ethical issues related to AI. It argued that machines are capable of acquiring knowledge, including beliefs and desires, in a way that surpasses their human creators. As a result, the probability of machines turning against their creators might be very high.
In the 1980s and 1990s, AI research started to move from symbolic reasoning toward neural networks. Neural networks are computer models of the human brain that can learn complex tasks on their own by using feedback from historical data. They are similar to other types of machine intelligence like heuristic search, inductive logic programming, and evolutionary computation. In 1997, Rodney Brooks created iRobot, which was an early example of a robot that could act on its own after having been taught by humans. It helped to advance robotics research into the practical implementation of artificial intelligence.
In 1997, Marvin Minsky and Seymour Papert co-founded the MIT Artificial Intelligence Laboratory (MILA). MILA is famous for its connection with AI research and world-leading work in AI by many famous researchers like Rodney Brooks, Allen Newell, Allen Henricks, and John McCarthy. The laboratory is also known for creating the first robot to be accepted into a household in history: Autonome.
In 2005, Siri was introduced at Apple’s iPhone 4 launch event by Steve Jobs. Siri is a machine learning system that comes with natural language processing capabilities. It responds to voice commands and can perform many tasks including weather forecasts, local searches, making reminders, and booking tickets. Its algorithms are based on neural networks which have been taught by humans.
In 2007, IBM’s Deep Blue beat the world chess champion, Garry Kasparov, in a six-game series hosted in New York. The “Deep Blue” strategy board was developed by Michael Littman and Michael Iversen at IBM’s Deep Blue Research Center.
In 2009, Google’s self-driving car project was started after Larry Page saw Stanford University professor Sebastian Thrun on TV giving a lecture about autonomous vehicles 2007. In 2012, Google began to develop its autonomous car technology after acquiring several companies in the field.
In 2011, IBM created Watson using software called DeepQA which uses language processing techniques and machine learning algorithms. Watson is famous for winning the game show “Jeopardy!” with impressive accuracy. In 2015, IBM announced that it would sell Watson to a healthcare company named Blue Cross Blue Shield. The company claimed that it could help doctors improve treatment for cancer patients.
In 2014, AlphaGo is an AI system developed by Google’s DeepMind division and built from four neural networks trained by playing many games against itself. Its objective was to defeat the world champion in Go, Lee Sedol. In March of 2016, AlphaGo beat Lee Sedol 4–1 in a five-game series.
In 2015, Tesla released Autopilot which is now a part of Enhanced Autopilot and Full Self-Driving Capability. It was first included in Tesla Model S vehicles built after October 2014 and became standard in all new production vehicles like the Model X and Model 3. Later versions of Autopilot came with hardware that enabled self-driving capability by introducing cameras and additional sensors onto the vehicles.
Autopilot can automatically steer within a lane, change lanes, transition from one freeway to another, and exit the freeway when your destination is near. It can also automatically park itself in a garage, automatically open and close the car door, and park your car parallel to a curb.
In 2016, Facebook released DeepFace, an AI system that could recognize faces in real-time. It was trained with face images from more than 5.6 million Facebook users uploaded by their friends to generate a database of 1.2 million faces. DeepFace has been used by Facebook to identify people in photos and videos uploaded on Messenger and the dating service Instagram.
In 2017, Apple introduced its own AI chip called “Neural Engine” with its new iPhone X. The “Neural Engine” is manufactured using a 10-nanometer process and it has been built from a single core unit with multiple sub-processors. It can perform 5 trillion operations per second which is more than the power of IBM’s Watson, Google’s TensorFlow, or Amazon’s Alexa today.
In 2017, Elon Musk launched Neuralink which aims to connect the human brain with a machine interface by creating micron-sized devices to be implanted in the human brain. It will initially be used to help people with severe brain injuries by feeding signals from the brain to an AI system.
In 2017, DeepMind (an AI system acquired by Google in 2014) developed AlphaZero which is a generalized artificial intelligence system that can master chess, shogi (a Japanese version of chess), and Go on its own within 72 hours with no human input. It is the first artificial system that can learn the games from scratch without any human knowledge.
Statistics about AI:
- 70% of organizations are planning to implement AI systems in their organization this year.
- 56% of companies are already using or experimenting with some form of AI today.
- 49% of executives believe that AI will drive competitive advantage in their industry within the next three years.
- 50% of executives believe that AI will bring more jobs to the country.
- Only 8% of people believe that AI can make their life worse with little to no benefits for them.
- Only 3% of organizations have lost a business opportunity because of their AI initiatives.
- 97% of respondents from organizations who have implemented AI are satisfied with their current progress and development.
- 91% of organizations who are using AI in their organization are satisfied with their current progress and development.
- 61% of executives believe that AI will replace them within one year.
- Only 3% of people believe that AI can make their life better with little to no benefits for them.

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