The term ‘Artificial Intelligence’ appeared in the popular usage all over the globe referring to apparatuses, bots automatic or software making a task-related way without a step by given step guide.
AI is moving quite rapidly. Moreover, it is believed that it will change a number of areas within our daily lives. Although the evolution at the present stage is rapid, the very beginnings of AI are rather ancient – research onto making computers that can think and behave like a human has been going on for many decades.
In the summer of 1956, the most notable computer scientists, mathematicians, and linguists of America joined forces to implement a research project, their goal was to build systems that would learn and perform tasks associated with intelligence of humans.
New words were also needed when the scientists began to relive the disability. They rather called it the “Artificial Intelligence”
Proving theorems of mathematics was the monopoly of the first AI program, soon to be born a discrete programming language to process objects of a symbolic nature.
The founders of AI, in the 1960s, designed the first autonomous robot “Shakey” and the chatbot “Eliza,” developed by Joseph Weizenbaum, which played the role of a psychotherapist. The sad fact was that these awesome creations were faced with reality that was far too complex than they expected, and this cooled down the enthusiasm, which eventually cut funding altogether.
In the 1970s, scientists debated whether AI could genuinely possess intelligence or if it simply simulated it.
In the 1980s, AI turned to practical applications: expert systems were able to assess vehicle damage and perform medical diagnosis. Chatbots appeared as guiding lights for travelers on buying tickets. Germany then turned into a big player within AI research. It rapidly came to the fore in the fields of speech recognition, image processing, and robotics.
In 1995, the car of Ernst Dickmanns did a tour from Munich to Copenhagen autonomously. While it marked significant progress, AI was yet to achieve mainstream status and would remain a rather niche topic for quite some time.
In 1997, headlines reported that a robot had defeated chess grandmaster Garry Kasparov.
For the first time, an expert system was able to outperform a human; it had been well-trained on extensive data. While industrial and service robots were gaining more autonomy, thus turning into self-learning systems.
Since 2010, AI began to spread globally because of increased computing power and storage, along with developments such as LSTM technology, which is also crucial for speech recognition. The internet, social media, and smart devices have made very large datasets available for quick analysis.
Some of the big achievements that AI has made are Watson winning Jeopardy., AlphaGo beating a top-ranking player of Go, and also virtual assistants performing home tasks.
Self-learning systems have huge commercial potential and are likely to boost productivity even further. But some AI results are simply too complicated for human minds to understand, and many systems are still unreliable for everyday tasks. A few people are even afraid of the risks of AI. Benefits are already there: better diagnosis in medicine, overcoming language barriers, and optimised traffic flow in cities. Channeling AI for the common good is the question.
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