[ad_1] Introduction Deep reinforcement learning has emerged as a powerful technique in the field of robotics for enabling agents to learn complex manipulation tasks through trial and error. By combining deep neural networks with reinforcement…
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[ad_1] Introduction In the era of big data and artificial intelligence (AI), the use of machine learning algorithms for financial risk assessment has become increasingly popular. While AI systems have shown great promise in automating…
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[ad_1] Introduction Quantum machine learning has emerged as a powerful tool in the field of materials science, enabling scientists to tackle complex problems with unprecedented speed and accuracy. By harnessing the principles of quantum mechanics,…
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[ad_1] Introduction Neuromorphic computing has emerged as a promising technology for edge devices due to its ability to process information in a manner that mimics the human brain. This thesis explores the application of neuromorphic…
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[ad_1] Introduction Swarm intelligence is a collective behavior exhibited by groups such as ants, bees, and birds that allows them to achieve complex tasks through simple interactions between individuals. This concept has been applied to…
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[ad_1] Introduction Distributed ledger technologies (DLT) have gained significant attention in recent years due to the rise of cryptocurrencies such as Bitcoin and Ethereum. While blockchain technology is the most well-known form of DLT, there…
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[ad_1] Introduction In recent years, deep learning has emerged as a powerful tool in the field of drug discovery. This cutting-edge technology has the potential to revolutionize the way new drugs are developed, by significantly…
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[ad_1] Introduction Quantum cryptography is a revolutionary technology that leverages the principles of quantum mechanics to secure communication channels against eavesdropping and data breaches. Traditional cryptographic systems are vulnerable to attacks from increasingly sophisticated hackers,…
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[ad_1] Introduction In recent years, smart home devices have become increasingly popular among consumers, providing convenience, security, and energy efficiency. These devices rely on artificial intelligence (AI) to automate tasks and improve user experience. However,…
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[ad_1] Introduction: Computer vision technology has gained significant importance in recent years, especially in the field of sports analytics. With the advancement in computer vision algorithms and the availability of high-quality sports video data, it…
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