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  • Writer's pictureAgrim Sharma

Teaching AI Physics can enable it to make new discoveries.

Updated: Jun 22, 2022

Incorporating established physics into neural network algorithms helps them to uncover new insights into material properties.

Researchers have discovered that by teaching them known physics, machine learning algorithms can gain new levels of transparency and insight into the properties of materials.

Amazon’s new robotic tech set to make work easier, safer for employees.

Incorporating known physics into machine learning algorithms can help the enigmatic black boxes attain new levels of transparency and insight into the characteristics of materials.

Quantum Artificial Intelligence

Quantum artificial intelligence enables the use of quantum computing with machine learning algorithms. Because of the computational advantages of quantum computing, quantum AI enables scientists to obtain results that would otherwise be unattainable using conventional computers.

Machine learning and artificial intelligence are two major research areas for quantum artificial intelligence algorithms. This calculation system differs from previous ones in that it can represent multiple states at the same time, which is especially useful when using AI approaches.

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