Artificial intelligence is becoming the foundation of the third generation of smart systems and potentially the beginning of a new fourth generation. Experts worldwide have divided artificial intelligence technology into two categories: weak and strong artificial intelligence. Weak AI focuses on automating specific tasks, while strong AI has the ability to learn and reason like humans, which does not yet exist in reality. It is composed of several components, including learning, reasoning, decision-making, problem-solving, and perception. There are many areas of artificial intelligence, such as machine learning, deep learning, computer vision, natural language processing, fuzzy logic, expert systems, and robotics. All of these areas can be implemented in the logistics industry. Logistics is a fundamental element of the global economy, playing a crucial role in ensuring the transportation of goods worldwide. Artificial intelligence can be implemented in all branches of logistics, including supply chains, warehousing, various transportation sectors, airports, ports, terminals, as well as vehicles, transportation, and distribution. It plays a crucial role in logistics by optimizing processes, increasing operational efficiency, and reducing costs. With the ability to automate processes and tracking, it contributes to better productivity and safety while reducing human errors. With proper implementation, artificial intelligence can enhance the competitiveness of companies and stimulate growth in new markets, while it is crucial to consider technical, organizational, and human aspects and to avoid pitfalls and dangers.
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