Krishna Dubey

'We keep following up with the shipping company, MEA and embassies, we only get to hear the search is ongoing.' We cannot express our grief in words. We have lost our brothers, and we are living through a grief that does not let up. For weeks now, we have been running across embassies and ministries, crying for help to somehow search for them. That is the only expectation we have left.

Symbolic regression is a vital yet challenging area of machine learning that aims to uncover mathematical equations describing relationships hidden in data. However, searching the vast space of possible expressions makes symbolic regression a computationally demanding problem. While past approaches like genetic algorithms have found approximate solutions, an efficient optimal method remains elusive.

Predicting earthquakes is no small feat due to their complex and ever-changing nature. But artificial intelligence, specifically a cutting-edge technique Quantum Neural Networks (QNN), could help to foresee these powerful events. Just like how QNN has made its mark in computer games, data management, and understanding social networks, it has found a new mission: predicting earthquakes.