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Artificial intelligence is being actively introduced into medical diagnostics, allowing the processing of large volumes of data, including medical images, patient records, and lab results. Learning models help to recognize patterns that a specialist might otherwise miss due to the volume of information. This speeds up diagnostics, increases its accuracy, and frees up doctors’ time for consultations and decision-making.
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Quantum computers use the principles of superposition and entanglement to process information, which allows them to solve problems that are unachievable for classical machines. They are based on qubits, which can take the states of 0 and 1 simultaneously, as well as entanglement processes that affect the mutual state of qubits regardless of distance. This technology can be seen as a transition from binary bits to quantum states, which opens up new horizons in cryptography, optimization, and modeling of materials.
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