Nova: Cosmic Style AI in the Game of Go
Nova: Cosmic Style AI in the Game of Go
Nova: Cosmic Style AI in the Game of Go
About
About
About
Nova was developed by Dr. Sounman Hong at Yonsei University in Korea, and its strength is estimated to be at the level of a strong human professional player. This marks the second time Dr. Hong participated in the UEC Cup. The model that competed in the UEC Cup in 2022 was called HongGo. In 2024, Dr. Hong significantly improved HongGo and created Nova, which was named after its cosmic-style opening.
Nova was developed by Dr. Sounman Hong at Yonsei University in Korea, and its strength is estimated to be at the level of a strong human professional player. This marks the second time Dr. Hong participated in the UEC Cup. The model that competed in the UEC Cup in 2022 was called HongGo. In 2024, Dr. Hong significantly improved HongGo and created Nova, which was named after its cosmic-style opening.
Nova was developed by Dr. Sounman Hong at Yonsei University in Korea, and its strength is estimated to be at the level of a strong human professional player. This marks the second time Dr. Hong participated in the UEC Cup. The model that competed in the UEC Cup in 2022 was called HongGo. In 2024, Dr. Hong significantly improved HongGo and created Nova, which was named after its cosmic-style opening.
Black Hole Opening
Black Hole Opening
Black Hole Opening
Nova is an AI Go system that employs an opening similar to the Black Hole opening (블랙홀 포석). The comparison below highlights the difference between the typical Black Hole opening (left) and Nova’s variation of the Black Hole opening (right).
Nova is an AI Go system that employs an opening similar to the Black Hole opening (블랙홀 포석). The comparison below highlights the difference between the typical Black Hole opening (left) and Nova’s variation of the Black Hole opening (right).
Nova is an AI Go system that employs an opening similar to the Black Hole opening (블랙홀 포석). The comparison below highlights the difference between the typical Black Hole opening (left) and Nova’s variation of the Black Hole opening (right).
Black Hole
Black Hole
Black Hole
Nova
Nova
Nova
Nova’s Games
Nova’s Games
Nova’s Games
Zenith Go 7 (B) vs. Nova (W)
Zenith Go 7 (B) vs. Nova (W)
Zenith Go 7 (B) vs. Nova (W)
Just before participating in the 16th UEC Cup, Nova (White) was matched against Zenith Go 7 (Black), one of the strongest Go AIs before Google’s AlphaGo was released. Zenith Go 7’s level of play can be adjusted, with its 9-dan level capable of competing against competent human professional players.
Game result: Nova (W) wins as Zenith Go 7 (9-dan) resigns.
Just before participating in the 16th UEC Cup, Nova (White) was matched against Zenith Go 7 (Black), one of the strongest Go AIs before Google’s AlphaGo was released. Zenith Go 7’s level of play can be adjusted, with its 9-dan level capable of competing against competent human professional players.
Game result: Nova (W) wins as Zenith Go 7 (9-dan) resigns.
Just before participating in the 16th UEC Cup, Nova (White) was matched against Zenith Go 7 (Black), one of the strongest Go AIs before Google’s AlphaGo was released. Zenith Go 7’s level of play can be adjusted, with its 9-dan level capable of competing against competent human professional players.
Game result: Nova (W) wins as Zenith Go 7 (9-dan) resigns.
Nova (B) vs. Thunderbird (W)
Nova (B) vs. Thunderbird (W)
This is a game between Nova (Black) and Thunderbird (White) at the 16th Computer Go UEC Cup, held in Chofu, Japan, on July 21, 2024. In this game, Nova completely dominated the center of the board.
Game result: Nova (B) wins by 167 points.
This is a game between Nova (Black) and Thunderbird (White) at the 16th Computer Go UEC Cup, held in Chofu, Japan, on July 21, 2024. In this game, Nova completely dominated the center of the board.
Game result: Nova (B) wins by 167 points.
This is a game between Nova (Black) and Thunderbird (White) at the 16th Computer Go UEC Cup, held in Chofu, Japan, on July 21, 2024. In this game, Nova completely dominated the center of the board.
Game result: Nova (B) wins by 167 points.
Engawa (B) vs. Nova (W)
Engawa (B) vs. Nova (W)
This is a game between Engawa (Black) and Nova (White). Engawa is an AI developed by the Japanese company Triple Eyes. It is one of the strongest AI models built from scratch, having been the runner-up twice in past competitions and winning this year's UEC Cup. In the 16th UEC Cup, Engawa recorded 13 wins and 1 loss. The only loss was against Nova in this game. Nova placed 5th.
Game result: Nova (White) wins by 2.5 points.
This is a game between Engawa (Black) and Nova (White). Engawa is an AI developed by the Japanese company Triple Eyes. It is one of the strongest AI models built from scratch, having been the runner-up twice in past competitions and winning this year's UEC Cup. In the 16th UEC Cup, Engawa recorded 13 wins and 1 loss. The only loss was against Nova in this game. Nova placed 5th.
Game result: Nova (White) wins by 2.5 points.
This is a game between Engawa (Black) and Nova (White). Engawa is an AI developed by the Japanese company Triple Eyes. It is one of the strongest AI models built from scratch, having been the runner-up twice in past competitions and winning this year's UEC Cup. In the 16th UEC Cup, Engawa recorded 13 wins and 1 loss. The only loss was against Nova in this game. Nova placed 5th.
Game result: Nova (White) wins by 2.5 points.
Awards
Awards
Awards
Originality Award
Originality Award
Originality Award
In the 16th UEC Cup World AI Competition in Go, Nova was awarded the Originality Award, which is conferred to innovative AI programs among the participating systems.
In the 16th UEC Cup World AI Competition in Go, Nova was awarded the Originality Award, which is conferred to innovative AI programs among the participating systems.
In the 16th UEC Cup World AI Competition in Go, Nova was awarded the Originality Award, which is conferred to innovative AI programs among the participating systems.
© 2024 DChallenge. All rights reserved.
© 2024 DChallenge. All rights reserved.
© 2024 DChallenge. All rights reserved.