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  • 7 weeks ago
प्रोफेसर सारिका जालान ने कहा, कैओस थ्योरी और गैर-रेखीय गतिकी को एआई के साथ जोड़ने से भविष्य में अधिक सक्षम और नियंत्रित एआई विकसित की जा सकती है.

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00:00So, recently there is a lot of work which are there on the successful prediction of artificial intelligence and enormous
00:08amount of work which have shown that we can make very good prediction of various different things starting from the
00:17financial market to brain that AI can make very successful prediction, but still it's not clear that how AI makes
00:27this successful prediction.
00:28So, internationally, there are few groups which have been working on this direction that how any artificial intelligence, for example,
00:37reservoir computing, which is our domain, makes the successful prediction.
00:40And here in IIT Indore, the first time in India, we have shown by using some chaotic system that how
00:49reservoir computing that makes successful prediction and that too of the extreme events like crisis, like for example, just the
00:57financial tipping point or climate tipping point.
01:00So, those kind of things just before the crisis happens, reservoir make the prediction, this is the first thing, but
01:06how it makes a prediction that we have shown using techniques of non-near dynamics and QOs, which is our
01:12expertise.
01:12So, using this very mathematical and fundamental non-near dynamics techniques, we have shown that how reservoir computing makes successful
01:24prediction.
01:25So, this work has recently been published in Fiscal Review Journal and EPJB, which is a Springer Nature Initiative.

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