https://mindmatters.ai/2022/02/is-alphazero-actually-superior-to-the-human-mind/
The interesting difference between AlphaGo and AlphaZero is that AlphaGo uses databases of top human games for learning, while AlphaZero only learns by playing against itself. Using the same AI engine to dominate two different games, while also discarding reliance on human games suggests that DeepMind has found an algorithm that is

https://www.smithsonianmag.com/innovation/google-ai-deepminds-alphazero-games-chess-and-go-180970981/
For humans, chess may take a lifetime to master. But Google DeepMind's new artificial intelligence program, AlphaZero, can teach itself to conquer the board in a matter of hours. Building on its

https://www.wired.com/story/deepmind-ai-chess/
Having AlphaZero next to us felt like having a human chess genius on tap, who never got tired and never asked for coffee. "AlphaZero find us a path!" became our standard cry during the World

https://deepmind.google/discover/blog/alphazero-shedding-new-light-on-chess-shogi-and-go/
To verify the robustness of AlphaZero, we also played a series of matches that started from common human openings. In each opening, AlphaZero defeated Stockfish. We also played a match that started from the set of opening positions used in the 2016 TCEC world championship, along with a series of additional matches against the most recent

https://www.chess.com/news/view/updated-alphazero-crushes-stockfish-in-new-1-000-game-match
AlphaZero's results vs. Stockfish in the most popular human openings. In the left bar, AlphaZero plays White; in the right bar, AlphaZero is Black. Image by DeepMind via Science. Click on the image for a larger version. The sample games released were deemed impressive by chess professionals who were given preview access to them.

https://www.pnas.org/doi/full/10.1073/pnas.2206625119
A comparison between AlphaZero's and human first move preferences over training steps and time. (A) The evolution of the first move preference for white over the course of human history, spanning back to the earliest recorded games of modern chess in the ChessBase database. The early popularity of 1. e4 gives way to a more balanced

https://www.science.org/doi/10.1126/science.aar6404
In chess, AlphaZero defeated Stockfish, winning 155 games and losing 6 games out of 1000 . To verify the robustness of AlphaZero, we played additional matches that started from common human openings . AlphaZero defeated Stockfish in each opening, suggesting that AlphaZero has mastered a wide spectrum of chess play.

https://www.chess.com/news/view/how-alphazero-learns-chess
AlphaZero Training Vs. Human Knowledge Over History. Another part of the paper is dedicated to comparing AlphaZero's training to the progression of human knowledge over history. The researchers point out that there is a marked difference between AlphaZero's progression of move preferences through its history of training steps, and what is

https://deepmind.google/technologies/alphazero-and-muzero/
AlphaZero and MuZero are powerful, general AI systems, that mastered a range of board games and video games — and are now helping us solve real-world problems. ... The system is the successor to AlphaGo, the first AI to defeat a professional human Go player and one that inspired a new era of AI advances. Unlike AlphaGo, which learned to play

https://www.marktechpost.com/2021/12/16/understanding-alphazero-neural-networks-superhuman-chess-ability/
Three approaches were conducted to investigate the capability of this architecture to acquire chess knowledge: 1) screening for human concepts, 2) studying behavioral changes, and 3) exploring activation. 1. Screening for human concepts. The aim is to find out if the internal representation (i.e., the activations) of AlphaZero can be related to

https://en.wikipedia.org/wiki/AlphaZero
AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go.This algorithm uses an approach similar to AlphaGo Zero.. On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world

https://www.nytimes.com/2018/12/26/science/chess-artificial-intelligence.html
Grandmasters had never seen anything like it. AlphaZero had the finesse of a virtuoso and the power of a machine. It was humankind's first glimpse of an awesome new kind of intelligence. Garry

https://www.msn.com/en-us/news/technology/ai-vs-humans-in-chess-how-artificial-intelligence-dominated/ar-BB1ocBgK
Modern Chess Engines: Current top chess engines like Stockfish and AlphaZero have ratings far above the highest-rated human players. These engines analyze millions of positions per second and have

https://www.wired.com/story/ai-ruined-chess-now-making-game-beautiful/
Vladimir Kramnik, former world chess champion. AlphaZero is a more flexible and powerful successor to AlphaGo, which laid down a marker in AI history when it defeated a champion at Go in 2016. It

https://www.reddit.com/r/chess/comments/ri2fcc/vladimir_kramniks_comments_on_alphazeros_learning/
Vladimir Kramnik's comments on AlphaZero's learning vs progression of human knowledge. I am directly quoting a arxiv paper written by Deepmind/Google in the past 2 weeks. GM Vladimir Kramnik is a co-author of the paper, and I'm only highlighting some of the chess-specific portions of the paper here. Check the full PDF out for full information

https://www.chessjournal.com/alphazero/
AlphaZero is a computer program developed by DeepMind and Google researchers. AlphaZero achieved a superhuman level of play in the games of chess, shogi, and Go within 24 hours by using reinforcement learning, where it simultaneously trained its game playing agents against themselves. AlphaZero learned without human knowledge or teaching.

https://arstechnica.com/science/2018/12/move-over-alphago-alphazero-taught-itself-to-play-three-different-games/
AlphaZero is a direct descendent of DeepMind's AlphaGo, which made headlines worldwide in 2016 by defeating Lee Sedol, the reigning (human) world champion in Go.

https://medium.com/@david_georgyan/alphazero-vs-stockfish-8-a-landmark-battle-of-human-and-artificial-intelligence-in-chess-ac6250b2355c
The games between AlphaZero and Stockfish 8 were closely watched by chess enthusiasts around the world, as they represented a battle between the best human-designed chess engine and an AI system

https://www.theringer.com/tech/2018/11/8/18069092/chess-alphazero-alphago-go-stockfish-artificial-intelligence-future
The difference between the two machines: AlphaZero taught itself how to play like a human. In December 2017, Google's AlphaZero routed Stockfish, the world's best chess engine, over the course

https://www.chess.com/terms/alphazero-chess-engine
AlphaZero was developed by the artificial intelligence and research company DeepMind, which was acquired by Google. It is a computer program that reached a virtually unthinkable level of play using only reinforcement learning and self-play in order to train its neural networks. In other words, it was only given the rules of the game and then

https://chess-site.com/articles/alphazero-chess-ai/
AlphaZero vs Stockfish. Since humans are no longer any match for chess AI, the DeepMind team tested AlphaZero's smarts by pitting against the current strongest chess AI out there, Stockfish. In the first test, AlphaZero won 25 games as White, 3 games as Black, and there were 72 games in which neither AI recorded a win or loss.

https://www.reddit.com/r/chess/comments/16pyvwj/why_does_alphazero_still_feel_so_legendary/
Easily. It never participated in TCEC. The researchers claimed AlphaZero won with a score of 155 wins, 6 losses, and 839 draws against Stockfish, but it was an older version of Stockfish. Even if it didn't participate in TCEC, it still won against the TCEC winner in a sweep.

https://www.morethansport.com/can-a-human-beat-alphazero/
Alphazero: A brief intro. It was in late 2017 that Alphazero, a single system that can master chess within a few hours, came into existence. Alphazero has managed to bag the award for beating some of the world's best human minds in the game of chess. The system figures out what the next set of moves will be and behaves accordingly.

https://www.reddit.com/r/dataisbeautiful/comments/113mll8/oc_ai_vs_human_chess_elo_ratings_over_time/
1990s was Deep Blue vs Kasparov, the first computer AI to challenge a top level human, eventually winning. Chess was regarded as a real intellectual challenge, impossible for machines at this time, so it was shocking to a lot of people. ... which is why in 2017, Deepmind was able to create a general purpose game playing AI AlphaZero (with no