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| Started by | Sky89 <Sky89@sky68.com> |
|---|---|
| First post | 2018-08-20 10:46 -0400 |
| Last post | 2018-08-20 10:46 -0400 |
| Articles | 1 — 1 participant |
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About artificial intelligence.. Sky89 <Sky89@sky68.com> - 2018-08-20 10:46 -0400
| From | Sky89 <Sky89@sky68.com> |
|---|---|
| Date | 2018-08-20 10:46 -0400 |
| Subject | About artificial intelligence.. |
| Message-ID | <plek7m$891$10@dont-email.me> |
Hello.... Read this: About artificial intelligence.. I think that AI (artificial intelligence) is getting more and more powerful, and i think that even if AI doesn't use abstract reasoning as humans, it is learning from data and being able to pass IQ tests and this way (by learning from data) it can get much more powerful, so we have to be optimistic about artificial intelligence, because AI will learn from data and get soon (in just about 12 years) "so" powerful that it will permit us to solve many of our problems, and i think that by learning from data it can get more powerful than humans in many ways. This is why i posted this: DeepMind AI Passes IQ Test, But Does It Really Think Like Us? Look at this interesting video: https://www.youtube.com/watch?v=zoNsbDVb4PI And also read the following interesting thoughts to understand more about AI: Artificial intelligence is becoming "powerful" because we are now capable of "general" artificial intelligence, read carefully what follows, it said that: "Artificial intelligence up to now, including DeepMind’s AlphaGo, have been limited to perform well only for a specific task - hence the term ‘narrow artificial intelligence.’ But researchers are beginning to embrace the arrival of artificial general intelligence, an AI that can perform any task that a human can. In their recent paper, Google DeepMind proposes a method into training AGI by using genetic algorithm." And: "So how well does PathNet perform in action? DeepMind’s experiments show that PathNet is faster than fine-tuning, and does positively transfer trained knowledge in supervised learning classification tasks and reinforcement learning tasks - successfully addressing the three requirements of an AGI." Read more here to notice it: http://www.deepbio.co.kr/2017/03/20/Weekly-paper-DeepMinds-PathNet.html And read about the following other important step that is Generative Adversarial Network: What’s a Generative Adversarial Network? Leading Researcher Explains Read more here: https://blogs.nvidia.com/blog/2017/05/17/generative-adversarial-network/ Thank you, Amine Moulay Ramdane.
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