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Improved machine learning algorithms: New machine learning methods and techniques, such as deep learning and reinforcement learning, enable the creation of more accurate and efficient models.
Natural language processing: Advances in technologies that allow computers to understand and process natural language make it possible to create smarter chatbots and automated text analysis systems.
Autonomous systems: Advances in autonomous driving technologies such as greece email list self-driving cars and robots that can make decisions based on analysis of the environment.
Supervised learning: Using data and information from humans to improve the learning process of machines.
Ethics and Security: There is a growing debate about ethical and security issues related to the development of artificial intelligence, such as protection against abuse and issues of algorithmic transparency.
Medical applications: Using artificial intelligence to improve diagnosis and treatment of diseases, develop personalized treatment programs, and predict epidemics.
Robotics: Advances in robotics and automation in manufacturing, warehouse management and other areas where robots can speed up processes and reduce costs.