A short story about modern Artificial Intelligence (AI)

 A Short story about Artificial Intelligence and how it changed our lives.

AI has been on earth since 1956 as a common academic discipline taught in some schools. Now in this century, AI have been helping a lot of people on their everyday activities online and it is ready to takeover the earth with the advanced features that has been providing recently. From doing simple tasks, solving problems, doing artwork, impersonating celebrities, giving information, doing possible and impossible research with logical thinking just like the human brain. AI is indeed improving and putting technology into the next level.

AI is intelligence indicated by computers to stimulate human and aminal intelligence. Hence, it contains the ability to understand, learn, generalize and to explain the meaning of a particular subject, place or discipline. It's common examples are search engines like Google Search, understanding human speech like Siri, Alexa and Google Assistant, performing as the second player in the single mode in multi-player games like Online Chess and in generative tools like ChatGPT and AI art. The sub-fields of AI are around the particular goals to the use of particular tools which include, reasoning, knowledge representation, planning, learning, natural language processing and the ability to move objects.

How it started.

AI first existed as a mechanical reasoning used by mathematicians as logic that led to Alan Turing's theory of computation. Shuffling symbols like "0" and "1", can simulate the common act of mathematical deduction. The phenomenon that computers use to simulate any process of common reasoning is known as the Church Turning thesis. With that insight, it made the researchers to consider to construct a electronic brain. It's first work that became recognized as AI was the formal design for Turning-complete "artificial neurons" by McCullouch and Pitts in 1943.

AI research was born in 1956 in Dartmouth College in New Hampshire USA where the attendees became the founders of AI research. Them and the students made programs whereby the press find it as astonishing. They applied it on computers and it allows it to solve world problems in algebra, proving logical theorems etc. In 1960s, the research was funded by the Department of Defense and it spread around the world. Between the 1960s and 1970s, the researchers found that in order to their methods to succeed is to create a machine with "artificial general intelligence" and make it as the goal of their field. They did not succeed to get the difficulty of the remaining tasks. It slowed down and in 1974, in the criticism of Sir James Lighthill and the pressure from the US Congress to fund more on those projects, both the U.S. and British governments cut off research in AI. Research into "artificial neural networks" was discredited by a book made by Seymour Papert and Marvin Minsky: "Perceptions", what was seen as evidence as technology that would never work.

In the 1980s, research became revived by the success of expert systems, a AI like program that simulated the knowledge and skills of humans. It reached over a billion dollars in the international market but it crashed in 1987 leading to the second long-last winter began.

But in the late 1990s and in the early 2000s, AI restored his reputation in exploiting formal mathematical methods and finding specific solutions to specific problems. It focus allowed researchers to make reasonable results and provide information on other fields. Academic researchers knew that AI is not chasing the main goal of creating intelligent machines in which it leads to the founding of AI's subfield: "artificial general intelligence" (AGI), with well funded institutions in the 2010s. In 2012, deep methods of learning domained the accuracy benchmarks. It success depended on hardware improvements such as faster computers, cloud computing, graphics processing units and access to large amounts of data. It later proved to be the most successful in the range of tasks and was adopted throughout the field. The number of projects that use AI at Google increased from a small rate of number in 2012 to over 2700 projects in 2015.

In 2017, some companies reported that they incorporated AI in some processes. The amount of research in AI between 2015 to 2019 increased by 50%. And in 2022, around $50 billion is invested in AI in the US alone and 20% of new Computer Science graduates (PhD) have specialized in artificial intelligence in US and over 800,000  AI-related job openings existed in 2022.

How it is going to change the world (according to Entrepreneur.com).

1. Innovations that need AI to work will spawn new unicorns.

It's almost as if we can now solve all the social and industrial problems and challenges because we finally have the technological key to it. The future holds the continuous and urgent need for new ideas to solve persistent issues. Perhaps people even thought about such solutions a long time ago, but there was no technical possibility to create them. With the use of artificial intelligence and automation, these ideas can become reality.

2. AI will power the remote work scenario.

The Great Quitting or the "Quiet Quitting" trends have shown that our relationship with work has changed a lot during the pandemic. Allowing flexibility and greater work-life balance has become essential for retaining talent. AI automations will be important for companies to offer more flexibility to employees, allowing them to work from anywhere in the world. 

3. AI and hyperautomation will come in waves.

We are already seeing the use of automation for bots to perform repetitive tasks. It may take some time before we are accompanied by real robots or consistent automations that allow companies to manage all productive aspects from a technology center. But along the way, we will see more often the use of technology to enhance people's ability to work, such as the use of personal assistants to resolve specific issues, enabling the professional to act faster and more efficiently. The more sophisticated the tools become, the more natural their adoption will be. Few aspects of our lives will remain untouched by technology and these changes will come in waves. The question is to find out which one is suitable for your company.