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What is Artificial Intelligence? What has Artificial Intelligence reached in the past? What are appreci...
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Very nice article.
I need to rectify this fragment about Alan Turing:
I agree that he is one of creators of present Computer Science, but early Enigma cipher has been broken by Marian Rejewski. Alan Turing was strongly based on results made be Rejewski and their colleagues( Jerzy Rozycki, Henryk Zygalski).
About Enigma in Wikipedia
As a Pole I have to mention about this.
Once again great post.
Ahh, yes you you have right here. I did not know this. Thank you!
No problem. I'm aware that this isn't well known fact so I've added my comment.
Thanks!
Interesting read. I would like to add a few points:
Artificial means "made by humans/not occuring naturally". It's not fake, it exists, it's real. :)
One of the big thing with AI, as you mentioned, is that we're not sure what is "intelligence" exactly. And with every AI breaktrhough, the definition of intelligence shrinks, because if a machine can do it, then it's not really intelligent. Because of computers, we knew doing arithmetics doesn't need intelligence. But chess, chess need planification, strategy, mind game... Of course winning at chess recquires true human intelligence. Then Deep Blue happens, and chess becomes a difficult game but not that intelligent, just a game with a huge combinatorial state space. No, true intelligence must happen when there's hidden information, when intuition is needed, it's being able to adapt and perform well at different tasks... Until a machine does better than us at this. It's endless! And I think it's partly due to people thinking "artificial" means "kind of fake", this way it can never be truly intelligent.
About AGI and superintelligence, if we ever build a machine capable of one of these, it will take years (at least!) to be certain that we've actually achieved this. There are still debates about intelligence in animals, and they're closer to us than machines. How are we going to be sure we're not confusing intelligence with fast computation + clever programming + antropomorphic bias?
Thank you for reading! Great points Jérémy!
I agree with you in the point, that the definition of Intelligence and therefore also of Artificial Intelligence is really difficult and it is still being evaluating by experts. It seems like a steady process.
I think the problem here is, that there are many branches, medicine, biology, philosophy and also computer science who all are trying to find a definition for intelligence. Intelligence is not only part of one branch, it is part of many branches. Therefore it is very difficult to find a definition which makes everybody happy.
About AGI and superintelligence:
If I would have to say when there would be AGI and superintelligence I would say at least 40 years. But I actually don't know ;)
Again, I think Nick Bostrom's book 'Superintelligence - Paths, Dangers, Strategies' is one if not the greatest book about this topic. I encourage everybody who are interested in this topic to read it!
About the definition of Artificial:
I still think that Artificial is (kind of) fake. Of course it exists, but it is not real, because then it would be just a clone of something. And if we are building something artificial, we are not just cloning something. Real grass would be grass that would grow, but artificial grass is fake grass, which intention is to substitute real grass to improve it behavior.
Intelligence is not very well defined term. The more interesting question whether human brain or consciousness really has intelligence ? Does this level intelligence achievable by combination of complex neural networks?
Indeed, Intelligence is a very complex and interesting topic. I tried to explain it as simple as possible. I just wanted to point out, that it can be defined in many different ways like logic, understanding, self-awareness, learning, emotional knowledge, planning, creativity and problem solving. Further I wanted to make clear, that there is not only Human Intelligence, but Animals, Plants have different levels of intelligence.
Artificial Intelligence (AI) has a rich and multifaceted history, spanning over many decades of scientific exploration and technological advancement. Here's a concise overview:
Origins (1950s-1960s):
The birth of AI can be traced back to the 1950s, with the work of pioneers like Alan Turing, who proposed the Turing Test as a measure of a machine's intelligence.
In 1956, the Dartmouth Conference marked the official beginning of AI as a field, led by John McCarthy, Marvin Minsky, Allen Newell, and Herbert Simon.
Early AI research focused on symbolic reasoning and problem-solving, leading to the development of programs like the Logic Theorist and the General Problem Solver.
AI Winter (1970s-1980s):
Despite initial enthusiasm, progress in AI slowed down during the 1970s and 1980s, leading to what's known as the "AI winter."
Challenges such as limited computational power, inadequate algorithms, and unrealistic expectations contributed to this slowdown.
Expert Systems and Knowledge Representation (1980s):
During the AI winter, interest shifted towards expert systems, which aimed to capture human expertise in narrow domains.
Expert systems utilized knowledge representation techniques to encode information in a format understandable by computers.
Neural Networks Resurgence (Late 1980s-1990s):
The late 1980s saw a resurgence of interest in neural networks, fueled by advances in computational capabilities and new Ai learning algorithms like backpropagation.
This period witnessed the development of applications such as handwriting recognition and speech recognition, showcasing the potential of neural networks.
Machine Learning and Data-Driven Approaches (2000s-Present):
The 2000s witnessed a shift towards data-driven approaches, with machine learning algorithms becoming increasingly prominent.
Breakthroughs in areas like deep learning, reinforcement learning, and natural language processing have revolutionized AI applications in fields such as healthcare, finance, and autonomous vehicles.
Ethical and Societal Implications (Present):
As AI technologies become more pervasive, concerns about ethical considerations, bias in algorithms, job displacement, and privacy have come to the forefront.
Efforts to address these challenges include the development of ethical guidelines, regulatory frameworks, and interdisciplinary research collaborations.
Future Outlook:
The future of AI promises continued innovation and integration into various aspects of society, with advancements expected in areas such as human-AI collaboration, explainable AI, and AI safety.
Throughout its history, AI has evolved from theoretical concepts to practical applications, profoundly impacting industries and reshaping the way we live and work. As researchers and engineers continue to push the boundaries of what's possible, the journey of artificial intelligence remains an ongoing and fascinating exploration.
Great post. :)
Thank you :)
Amazing read
Very well written! Congrats!
Wonderful piece
Thank you!
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Great article!
What do you think about the 2001 movie A.I. Artificial Intelligence, directed by Steven Spielberg?
Thank you :)
I actually have not watched the movie yet, but I think I have to check it out now.
Really amazing Article. Thanks for sharing this.