Google DeepMind Researchers Uncover the Power of AI Diversity in Tackling Chess Challenges: Introducing AZ_db, the Next Leap in Computational Problem-Solving - MarkTechPost

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

Inside AlphaDev: DeepMind's Newest Breakthrough Model that Was Able to Discover New Sorting Algorithms, by Jesus Rodriguez

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Rachit Ranjan, Author at MarkTechPost - Page 6 of 8

Google DeepMind Trains 'Artificial Brainstorming' in Chess AI

One Giant Step for a Chess-Playing Machine - The New York Times

The human side of AI for chess - Microsoft Research

Marktechpost Media Inc. posted on LinkedIn

Confirmed: DeepMind's Deepest Mind Is on Leave

Here comes the new and improved AlphaZero : r/chess

Google's New AI Is a Master of Games, but How Does It Compare to the Human Mind?, Innovation