Game 4 of the Google Deep Mind Challenge Match
GPTKB entity
Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:event
|
| gptkbp:abilities |
Alpha Go was an AI program developed by Deep Mind
Lee Sedol was a top Go player |
| gptkbp:aiadvancement |
highlighted the potential of AI in complex games
showcased AI's ability to learn from human play |
| gptkbp:analysis |
extensively covered in media
|
| gptkbp:audience |
millions of viewers
|
| gptkbp:broadcasts |
live streamed globally
|
| gptkbp:concluded_on |
marked a milestone in AI development
|
| gptkbp:date |
March 15, 2016
|
| gptkbp:duration |
approximately 3 hours
|
| gptkbp:event_type |
exhibition match
competitive match |
| gptkbp:followed_by |
gptkb:Game_5_of_the_Google_Deep_Mind_Challenge_Match
discussions on AI ethics debates on AI's future in society |
| gptkbp:format |
best of five
|
| gptkbp:game_type |
gptkb:Go
|
| gptkbp:historical_context |
part of AI vs human matches
|
| https://www.w3.org/2000/01/rdf-schema#label |
Game 4 of the Google Deep Mind Challenge Match
|
| gptkbp:impact |
influenced AI research
|
| gptkbp:influenced |
development of AI algorithms
research in game theory future AI competitions public interest in AI technology |
| gptkbp:legacy |
inspired future AI research initiatives
remains a landmark event in AI history set a precedent for AI capabilities in games |
| gptkbp:location |
gptkb:Seoul,_South_Korea
|
| gptkbp:loser |
gptkb:Lee_Sedol
|
| gptkbp:notable_move |
gptkb:Move_37
|
| gptkbp:notable_speakers |
gptkb:Michael_Redmond
gptkb:Fan_Hui widely analyzed by experts Tianfeng Shan |
| gptkbp:outcome |
Lee Sedol lost the match
|
| gptkbp:part_of |
gptkb:Google_Deep_Mind_Challenge_Match
|
| gptkbp:played_between |
Alpha Go and Lee Sedol
|
| gptkbp:predecessor |
gptkb:Game_3_of_the_Google_Deep_Mind_Challenge_Match
|
| gptkbp:public_reaction |
celebrated as a technological achievement
mixed reactions from the Go community |
| gptkbp:result |
Alpha Go won 4-1 overall
|
| gptkbp:significance |
demonstrated advanced AI capabilities
|
| gptkbp:strategy |
utilized deep learning techniques
|
| gptkbp:successor |
gptkb:Game_5_of_the_Google_Deep_Mind_Challenge_Match
|
| gptkbp:uses_technology |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks reinforcement learning |
| gptkbp:viewership |
record high
|
| gptkbp:winner |
gptkb:Alpha_Go
|
| gptkbp:bfsParent |
gptkb:Lee_Sedol
|
| gptkbp:bfsLayer |
5
|