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Abstract: Machine learning is a branch of artificial intelligence (AI) that allows computers to learn and improve from data without being explicitly programmed. It uses algorithms to analyze patterns in data and generate models for specific tasks. Machine learning can help computers make accurate predictions and behave intelligently.   Some things to know about machine learning includes    Reinforcement learning A machine learning technique that trains software to make decisions to achieve the best results. It mimics the trial-and-error learning process that humans use.    Natural language processing A machine learning technology that allows computers to understand, interpret, and manipulate human language.    Types of algorithms There are four types of machine learning algorithms: supervised, semi-supervised, unsupervised, and reinforcement.    Relation to AI Machine learning is an application of AI that allows machines to l...

Abstract Quantum mechanics is the physics of the very small. It explains and predicts the behaviour of atoms and molecules in a way that redefines our understanding of nature. It is the most precise description that we have of the world, and yet, it predicts surprising, often counter-intuitive behaviours. Quantum applications are transforming how we live, work and play. Technologies like quantum sensors, quantum computers and quantum information security are emerging from labs around the world, and we are already seeing the tremendous possibilities.  Unlike today’s computers and supercomputers that use binary electrical signals to represent ones or zeros, quantum computers employ quantum bits (qubits), which are subatomic particles. When managed properly, qubits can represent combinations of both ones and zeros simultaneously. The more qubits, the greater potential for large-scale compute power for problem-solving. To determine the quantum economic advantage, business a...