Artificial intelligence has finally made the drones faster than humans. One of the examples that make our lives easier is ODEA's artificial intelligence-supported smart investment advisor Rob'O odea.biz/3PpP1Pd (collaboration)
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When and in what areas will artificial intelligence fully surpass human intelligence? Could it harm humanity when it gets out of control? What kind of risks does it pose in the military field? How will the relationship between artificial intelligence and human intelligence be shaped? Could artificial intelligence one day make scientific discoveries? Could the productivity increase it brings eliminate human labor? Can it improve human abilities such as creativity, art, humor? What innovations can the combination of artificial intelligence and human intelligence lead to?
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I tried to compare artificial intelligence to the wheel. One of the first machines invented. Just as the wheel gave humanity the ability to move, artificial intelligence accelerates scientific discoveries. Examples of artificial intelligence that have begun to surpass human intelligence in many areas, from chess to drone races, to image processing, have entered our lives. Artificial intelligence systems such as AlphaGo, AlphaFold, Swift can now obtain faster and more successful results than human experts. However, we also have concerns about the use of artificial intelligence in the military field. especially in unmanned aerial vehicles, carries the risk of falling out of control. Artificial intelligence can both provide great benefits and have dangerous consequences if it gets out of control. For this reason, it should be discussed in every aspect and handled with a rational approach. we need to adopt a 360-degree perspective, just like the aerial shots in the movie Ambulance.
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Question, Study, Hypothesis, Test, Evaluation, Report.
at each step of this chain that we have developed for ourselves, either artificial intelligence, computers with high processing capacity or robotics have a separate contribution. And this contributions will increase. Because what we discover thanks to science also increases our speed of discovery. This is a self-accelerating system! First paradigm: In the beginning, everything was progressing only through observations and experiments.
We watched the rolling logs and invented the wheel. Observation and experiment. Then sciences began to emerge, we discovered laws. This is the second paradigm. Then computers came into play and became even faster. Simulations, models… It became the third paradigm. Then the era of big data began. The process accelerated even more. Machine learning, patterns, anomalies… This is the fourth paradigm. We are currently in a new paradigm shift. In our adventure of discovering those machines that started with the wheel, we have entered a period in which they, too, have started to learn. Not only do they learn, they also get up and dance with us. They support those steps of scientific discovery. How you say? Let's go back to the chain. Question: In this step, artificial intelligence can analyze the information in the field, identify knowledge gaps and find new questions. Study: Artificial intelligence can find the necessary information and combine it with reasoning. Hypothesis: Generative models can introduce new hypotheses that will expand our discoveries. Testing: Thanks to robotic laboratories, experimental sets can be automated and results can be obtained much faster without the need for humans. Evaluation: By combining with results from simulations and experiments, anomalies and new patterns can be extracted. Report: Ultimately, the information the machine produces can lead to new hypotheses and questions. So in a sense it becomes a circle. Or a wheel… And it keeps turning.
It's a process. a process that starts with a question, learns and discovers new things, and it is now automated. Especially the hypothesis, that is, the part that requires creativity, is still quite problematic. But we managed to integrate it quite well into the testing and evaluation part. AlphaFold's developers taught this artificial intelligence the structure of approximately 100 thousand known proteins. In this way, they were able to solve the structure of a protein with atomic precision in just a few minutes. The researcher using that computer said that his work, which had been progressing slowly for years, had now gained incredible speed. I do not want to give false hopes here, especially on such a sensitive issue as health, but I think that very important successes can be achieved in the treatment of protein-related diseases and of course many types of cancer in the next 10 years. Because with the help of artificial intelligence like AlphaFold, that wheel of scientific steps started to turn faster than ever.
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Researched and Written by: Turan Ögetay Kayalı, Barış Özcan
Edited by: Alperen Çatak
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Full text of the video and sources used:
barisozcan.com
15 сен 2023
