Google DeepMind Researchers Uncover the Power of AI Diversity in Tackling Chess Challenges: Introducing AZ_db, the Next Leap in Computational Problem-Solving - MarkTechPost
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Artificial Intelligence has extended its realms to almost all fields, and we find its applications in nearly all spheres of life. In several computational tasks, AI systems have even outperformed humans, marking significant strides in technological advancement. But AI systems, just like humans, also make mistakes and errors, especially when subjected to an unseen scenario. This happens as AI depends on the amount of data and computation available. Consequently, ongoing research strives to mitigate these limitations, enhancing AI
Rachit Ranjan, Author at MarkTechPost - Page 6 of 8
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