Adaptive AI is a branch of artificial intelligence that focuses on creating systems capable of learning, adapting, and improving their performance over time based on their interactions with the environment and the data they process. These AI systems are designed to dynamically adjust their algorithms, models, and strategies in response to changing conditions, user preferences, or new information, enabling them to deliver more personalized, efficient, and effective solutions. Adaptive AI encompasses various approaches, such as reinforcement learning, online learning, transfer learning, and meta-learning, which allow the systems to continuously update their knowledge and optimize their decision-making processes. By leveraging these techniques, adaptive AI can be applied to a wide range of domains, including robotics, autonomous vehicles, recommendation systems, and intelligent assistants, where the ability to adapt to novel situations and evolve with the environment is crucial. The development of adaptive AI is driven by the need for more flexible, resilient, and context-aware intelligent systems that can handle the complexity and unpredictability of real-world scenarios, ultimately leading to more robust and human-like artificial intelligence.
machine learning, autonomous systems, personalization, context-awareness, continuous optimization
CITATION : "Robert Anderson. 'Adaptive AI.' Design+Encyclopedia. https://design-encyclopedia.com/?E=431239 (Accessed on July 27, 2024)"
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