Statements (1,873)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
gptkb:program gptkb:documentary gptkb:AI_technology gptkb:film |
| gptkbp:abilities |
strategic thinking
|
| gptkbp:achieved_a_3-0_victory_against |
gptkb:Fan_Hui
gptkb:Ke_Jie |
| gptkbp:achieved_a_4-1_victory |
in the match against Lee Sedol
|
| gptkbp:achieved_a_4-1_victory_against |
gptkb:Lee_Sedol
|
| gptkbp:achieved_victory_against |
top human players
|
| gptkbp:advances |
gptkb:machine_learning
|
| gptkbp:advertising |
gptkb:media_outlets
gptkb:2016 gptkb:2017 gptkb:media_coverage high Gained worldwide attention global attention widely covered by media global media coverage widely covered in media global media attention global attention to AI capabilities |
| gptkbp:ai |
advancement in AI research
pioneering achievement in AI defeat a professional human player at Go defeat a human champion in Go to defeat a human champion at Go defeat a human professional Go player defeat a professional Go player designed for playing Go to defeat a professional Go player pioneered AI in games |
| gptkbp:aiadvancement |
significant milestone
|
| gptkbp:aichallenge |
defeating human champions
|
| gptkbp:aicommunity |
inspired AI researchers
|
| gptkbp:aicommunity_response |
positive feedback
|
| gptkbp:aicompetitions |
inspired new AI competitions
inspired future AI competitions |
| gptkbp:aidevelopment |
accelerated AI development.
|
| gptkbp:aienhancements |
pioneered new techniques
applications in various fields |
| gptkbp:aifield |
gptkb:Artificial_Intelligence
artificial general intelligence artificial intelligence and gaming game playing AI |
| gptkbp:airecognition |
widely recognized as a breakthrough
widely recognized AI system recognized as a breakthrough |
| gptkbp:airesearch |
influenced AI research direction
|
| gptkbp:architecture |
gptkb:neural_networks
|
| gptkbp:audience |
widely acclaimed
|
| gptkbp:awards |
gptkb:none
various accolades |
| gptkbp:based_on |
the match between Alpha Go and Lee Sedol
|
| gptkbp:built |
advanced algorithms
|
| gptkbp:career_games_played |
gptkb:unknown
gptkb:Game_1 gptkb:Game_3 gptkb:4 gptkb:Game_2 |
| gptkbp:case_analysis |
machine learning applications
AI development AI ethics AI development strategies AI and human competition |
| gptkbp:community_feedback |
mixed reactions
|
| gptkbp:competed_in |
gptkb:2017
gptkb:Kramnik gptkb:Fan_Hui gptkb:Ke_Jie gptkb:Google_Deep_Mind_Challenge_Match Go tournaments Kisei title holder top Go players Go Tournaments Future of Go Summit Korean Go champion |
| gptkbp:competes_in |
gptkb:Go
|
| gptkbp:competes_with |
human players
Go tournaments top Go players |
| gptkbp:competitors |
gptkb:Alpha_Zero
Go tournaments Go competitions other AI systems other AI Go programs |
| gptkbp:computational_power |
massive computing resources
|
| gptkbp:contributed_to |
AI ethics discussions
AI development AI advancements AI Ethics Discussions AI strategy evolution |
| gptkbp:contributes_to |
AI ethics discussions
public interest in AI the understanding of AI capabilities understanding of AI capabilities |
| gptkbp:contribution |
demonstrated AI capabilities
|
| gptkbp:country |
gptkb:United_States
|
| gptkbp:created_by |
gptkb:Julian_Schrittwieser
gptkb:2015 gptkb:London gptkb:David_Silver gptkb:Shane_Legg gptkb:Demis_Hassabis gptkb:Thore_Graepel |
| gptkbp:created_in |
gptkb:2014
gptkb:2015 gptkb:United_Kingdom |
| gptkbp:cultural_impact |
inspired films
inspired documentaries inspired books inspired academic research popularized Go increased interest in AI inspired discussions on ethics of AI influenced perceptions of AI influenced public perception of AI inspired discussions on AI in games inspired discussions on AI in society popularized AI influenced AI competitions inspired new AI applications led to advancements in neural networks sparked discussions on AI capabilities |
| gptkbp:current_champion |
gptkb:Ke_Jie
Against Fan Hui against a top Go player |
| gptkbp:date_of_game4 |
March 2016
|
| gptkbp:decided_by |
real-time analysis
|
| gptkbp:defeated |
gptkb:Alpha_Go_Master
gptkb:Shin_Jin-seo gptkb:Game_4 gptkb:Lee_Sedol gptkb:Fan_Hui gptkb:Ke_Jie top human players top Go players Top human players Go champion Go world champion Lee Sedol (Game 1) Lee Sedol (Game 2) Lee Sedol (Game 3) Lee Sedol (Game 5) Lee Sedol in Games 1, 2, and 3 |
| gptkbp:defeated_lee_sedol |
4-1
|
| gptkbp:defeated_lee_sedol_in |
March 2016
|
| gptkbp:defeated_player |
top-ranked players
Go champion top-ranked Go player |
| gptkbp:demonstrated_skill |
strategic thinking
|
| gptkbp:depicts |
the impact of AI on society
|
| gptkbp:designed_by |
gptkb:Deep_Mind
|
| gptkbp:developed_by |
gptkb:Deep_Mind
gptkb:Tensor_Flow gptkb:Deep_Mind_Technologies gptkb:Google_Deep_Mind gptkb:Alphabet_Inc. gptkb:London gptkb:United_Kingdom gptkb:Google cutting-edge technology Advanced Algorithms research purposes playing the game of Go to challenge human players playing Go play Go challenge human players play the game of Go |
| gptkbp:developer |
gptkb:Deep_Mind
|
| gptkbp:development |
gptkb:2014
gptkb:2015 |
| gptkbp:difficulty |
highly complex
high complexity of Go |
| gptkbp:directed_by |
gptkb:Greg_Kohs
|
| gptkbp:discontinued |
gptkb:2017
|
| gptkbp:discusses |
the game of Go
the future of AI |
| gptkbp:documentary |
gptkb:Alpha_Go_(2017_film)
gptkb:Alpha_Go Alpha Go (2017) the match between Alpha Go and Lee Sedol chronicles a historic event |
| gptkbp:educational_value |
used in AI education
|
| gptkbp:equipment |
gptkb:TPUs
GPUs |
| gptkbp:evaluates |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:Monte_Carlo_Tree_Search win rate highly praised value network self-play position evaluation human expert feedback self-play evaluation human expert review win probability play against itself |
| gptkbp:examines |
the strategies of Go
|
| gptkbp:example |
gptkb:Artificial_Intelligence
reinforcement learning |
| gptkbp:exhibited_at |
Strategic Thinking
international competitions AI conferences AI's potential |
| gptkbp:explores |
gptkb:Artificial_Intelligence
human vs machine |
| gptkbp:explores_themes |
technology and humanity
|
| gptkbp:faced |
strong competition
Fan Hui 5-0 Ke Jie 3-0 Lee Sedol 4-1 |
| gptkbp:famous_for |
defeating top human players
defeating top players unconventional strategies defeating top Go players Beating world champions Go playing AI defeating human champions its match against Lee Sedol Game 1 victory |
| gptkbp:famous_match |
gptkb:2016_match_against_Lee_Sedol
gptkb:2017_match_against_Ke_Jie Lee Sedol vs Alpha Go |
| gptkbp:famous_rival |
gptkb:none
human Go players |
| gptkbp:featured_in |
gptkb:documentary
|
| gptkbp:features |
gptkb:Deep_Mind
gptkb:Lee_Sedol gptkb:machine_learning game footage Go players self-play Alpha Go AI the final match against Lee Sedol |
| gptkbp:features_interviews_with |
AI researchers
|
| gptkbp:field_of_study |
gptkb:Artificial_Intelligence
gptkb:computer_science gptkb:strategy gptkb:machine_learning cognitive science deep learning |
| gptkbp:fifth_match_date |
March 2016
March 15, 2016 |
| gptkbp:fifth_match_opponent |
gptkb:Lee_Sedol
|
| gptkbp:fifth_match_result |
win
|
| gptkbp:film |
has been referenced in other media
examines the relationship between humans and machines appeals to tech enthusiasts captures a pivotal moment in AI history has sparked discussions on AI advancements raises questions about the future of AI showcases the capabilities of AI |
| gptkbp:film_technique |
gptkb:Alpha_Go_(2017_film)
gptkb:Alpha_Go Alpha Go (2018) |
| gptkbp:final_match_date |
gptkb:Against_Ke_Jie
gptkb:Alpha_Go_Master gptkb:2016 gptkb:2017 gptkb:2016_match_against_Lee_Sedol gptkb:Lee_Sedol gptkb:Ke_Jie 2017-05-27 October 2015 March 2016 March 15, 2016 May 2017 October 2017 win March 13, 2016 2016-03-15 3-0 win Alpha Go vs. Ke Jie Alpha Go won Alpha Go Master 3-0 |
| gptkbp:final_score |
4 -1
4-1 against Lee Sedol |
| gptkbp:final_version_release |
gptkb:2017
|
| gptkbp:first_ai_to_defeat_a_human_go_champion |
gptkb:Lee_Sedol
|
| gptkbp:first_ai_to_defeat_a_human_professional_go_player |
nan
|
| gptkbp:first_aito |
defeat a human professional Go player
defeat a human champion |
| gptkbp:first_aito_beat |
a professional Go player
|
| gptkbp:first_edition |
gptkb:Alpha_Go_Fan
gptkb:2015 Alpha Go Lee |
| gptkbp:first_game_against |
gptkb:Lee_Sedol
|
| gptkbp:first_game_won |
4-1
|
| gptkbp:first_human_defeat |
March 2016
|
| gptkbp:first_match |
gptkb:2015
gptkb:2016 gptkb:London gptkb:Seoul gptkb:Seoul,_South_Korea gptkb:Wuzhen,_China gptkb:Lee_Sedol gptkb:Fan_Hui gptkb:Ke_Jie 2016-03-09 October 2015 March 2016 March 9, 2016 May 2017 win won March 10, 2016 March 12, 2016 against Fan Hui 4-1 win |
| gptkbp:first_match_against_lee_sedol |
gptkb:Lee_Sedol
|
| gptkbp:first_released |
gptkb:2015
|
| gptkbp:first_to_defeat |
top human player
|
| gptkbp:first_victory_against |
gptkb:Lee_Sedol
gptkb:Fan_Hui |
| gptkbp:first_victory_against_a_human_champion |
gptkb:2016
|
| gptkbp:focuses_on |
gptkb:Artificial_Intelligence
|
| gptkbp:follow_up_project |
gptkb:Alpha_Zero
gptkb:Alpha_Fold |
| gptkbp:followed_by |
gptkb:Alpha_Go_Master
gptkb:Alpha_Go_Zero |
| gptkbp:follows |
the game of Go
the story of a Go match |
| gptkbp:founded_in |
AI algorithms
|
| gptkbp:fourth_match_opponent |
gptkb:Lee_Sedol
|
| gptkbp:fourth_match_result |
win
|
| gptkbp:future_prospects |
AI in competitive environments
AI in complex tasks |
| gptkbp:game_2_commentary |
widely analyzed by experts
|
| gptkbp:game_2_impact |
increased interest in AI
|
| gptkbp:game_2_location |
gptkb:Seoul,_South_Korea
|
| gptkbp:game_2_opponent |
gptkb:Lee_Sedol
|
| gptkbp:game_2_outcome |
gptkb:victory
|
| gptkbp:game_2_significance |
demonstrated AI capabilities
|
| gptkbp:game_length |
5 games
|
| gptkbp:game_outcome_against_lee_sedol |
4-1
|
| gptkbp:game_type |
gptkb:board_game
gptkb:Go |
| gptkbp:game1_outcome |
Alpha Go wins
|
| gptkbp:game2_outcome |
Alpha Go wins
|
| gptkbp:gameplay |
gptkb:Go
Alpha Go 1 -0 Lee Sedol |
| gptkbp:genre |
gptkb:documentary
best of five |
| gptkbp:goal |
to play Go at a high level
|
| gptkbp:group_size |
over 50
small team |
| gptkbp:hardware_used |
TPU
TPU (Tensor Processing Unit) |
| gptkbp:has |
gptkb:neural_networks
multiple versions high computational power a unique architecture multiple accolades a dedicated research team a significant cultural impact a documentary film inspired educational programs a significant following won multiple awards a competitive edge won numerous awards a documentary a large fanbase a large fan following a unique set of challenges high computational requirements a unique playing style a 19x19 board a complex decision-making process a legacy in AI history a policy network a public API a significant impact on AI research a significant role in AI development a strong evaluation function a training phase a unique algorithm a unique training methodology a value network influenced other AI systems inspired further research in AI a complex evaluation function a large number of games played a legacy in AI development a legacy in competitive gaming a notable impact on technology a notable rivalry with traditional Go players a role in educational discussions a role in popularizing AI a role in shaping future AI research a significant impact on Go a significant role in AI history a training dataset influenced game AI inspired new AI systems a competitive edge over human players a legacy in AI research a notable impact on Go community a role in AI education a role in advancing computational techniques a role in interdisciplinary research a role in shaping AI ethics discussions a role in shaping AI policy a significant impact on AI development a significant role in AI competitions contributed to advancements in AI influenced game strategies influenced public perception of AI inspired new algorithms multiple neural network architectures inspired AI ethics discussions a large number of training iterations a significant impact on Go community a significant role in AI ethics discussions a unique approach to learning influenced the design of future AI systems a Monte Carlo tree search algorithm a diverse set of opponents a high win rate a large number of training games a notable influence on AI policy a notable performance record a notable public reception a significant computational requirement a significant research impact a significant role in AI discussions multiple game strategies a high level of performance |
| gptkbp:has_a |
high win rate
|
| gptkbp:has_a_focus_on |
gptkb:media_coverage
research studies AI research funding AI ethics research |
| gptkbp:has_a_neural_network |
gptkb:architecture
|
| gptkbp:has_a_neural_network_architecture |
that mimics human intuition
|
| gptkbp:has_a_neural_network_that |
evaluates board positions
|
| gptkbp:has_a_reputation_for |
unconventional moves
|
| gptkbp:has_a_training_method_involving |
self-play
|
| gptkbp:has_a_version_called |
gptkb:Alpha_Go_Master
gptkb:Alpha_Go_Zero |
| gptkbp:has_achieved |
superhuman performance
global attention Historic Wins historic victory major milestones first AI to defeat a human professional Go player superhuman performance in Go multiple victories against top players victory in Game 2 a 4-1 victory in the match winning probabilities first victory against a human professional Go player |
| gptkbp:has_achievements |
Multiple tournament victories
in AI competitions defeated world champion defeated top human players defeated top Go players multiple victories against top players First AI to defeat a human professional Go player First AI to defeat a Go world champion won the Google Deep Mind Challenge Match defeated Lee Sedol in 2016 revolutionized AI |
| gptkbp:has_applications_in |
Various Fields
|
| gptkbp:has_awards |
gptkb:Best_Paper_Award_at_Neur_IPS_2016
|
| gptkbp:has_been_a_breakthrough_in |
gptkb:machine_learning
|
| gptkbp:has_been_a_landmark_event_in |
AI history
|
| gptkbp:has_been_used_to_explore |
human cognition
|
| gptkbp:has_been_used_to_teach |
AI concepts
|
| gptkbp:has_changed_perceptions_of |
AI capabilities
|
| gptkbp:has_collaborations_with |
with universities
|
| gptkbp:has_community |
enthusiasts and researchers
|
| gptkbp:has_cultural_impact |
on perceptions of AI
|
| gptkbp:has_facilitated |
discussions on AI ethics
|
| gptkbp:has_fan_base |
AI community
AI enthusiasts |
| gptkbp:has_features |
gptkb:user_interface
gptkb:multi-layer_perceptron data collection decision making performance metrics cloud computing resources high-performance computing hyperparameter tuning parallel processing real-time processing scalability strategic planning performance evaluation robustness supervised learning transfer learning pattern recognition game analysis convolutional neural networks model optimization policy network value network learning from experience adapting strategies self-play training game simulation training on large datasets generalization capabilities evaluation of positions move prediction opponent modeling training iterations |
| gptkbp:has_game_outcome |
won against Lee Sedol 4-1
|
| gptkbp:has_game_record |
historic matches
over 500 games |
| gptkbp:has_historical_significance |
AI and gaming
|
| gptkbp:has_impact_on |
gptkb:computer_science
gptkb:strategy gptkb:machine_learning gptkb:Go_community Human-Computer Interaction machine learning techniques AI ethics discussions strategic thinking AI development AI ethics strategic games human-AI collaboration public perception of AI competitive Go |
| gptkbp:has_influence_on |
machine learning techniques
future AI applications |
| gptkbp:has_influenced |
gptkb:AI_technology
gptkb:Go_community AI ethics discussions AI development AI research community AI research and development the field of artificial intelligence public perception of AI AI development strategies game theory research the development of AI in games AI applications in other fields |
| gptkbp:has_inspired |
AI competitions
further AI research future AI projects further AI developments new AI applications new AI systems new strategies in Go |
| gptkbp:has_led_to |
increased interest in AI research
|
| gptkbp:has_legacy |
gptkb:AI_technology
gptkb:Gaming AI Development AI competitions in AI development in AI research inspired Alpha Zero inspired Mu Zero inspired other AI programs in AI and gaming |
| gptkbp:has_method |
gptkb:neural_networks
gptkb:Monte_Carlo_Tree_Search reinforcement learning policy network value network |
| gptkbp:has_participated_in |
historical matches
multiple high-profile matches |
| gptkbp:has_programs |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:Monte_Carlo_Tree_Search deep learning reinforcement learning policy network value network neural network algorithm playing Go |
| gptkbp:has_public_demonstration |
gptkb:2016_match_against_Lee_Sedol
|
| gptkbp:has_publications |
gptkb:Nature
related to its development |
| gptkbp:has_rating |
7.8/10 on IMDb
100% on Rotten Tomatoes |
| gptkbp:has_received |
numerous awards
multiple awards |
| gptkbp:has_research_focus |
gptkb:Deep_Mind_team
|
| gptkbp:has_research_paper |
Mastering the Game of Go with Deep Neural Networks and Tree Search
|
| gptkbp:has_sequel |
gptkb:Alpha_Go:_The_Movie
|
| gptkbp:has_set_records_in |
Go playing.
Go playing strength |
| gptkbp:has_setting |
new standards in AI
new standards in AI performance |
| gptkbp:has_training_data |
self-play games
large dataset of Go games human games |
| gptkbp:has_version |
gptkb:Alpha_Go_Master
gptkb:Alpha_Go_Zero Alpha Go Lee |
| gptkbp:has_won |
multiple awards
|
| gptkbp:highlights |
the impact of AI on society
human vs machine competition |
| gptkbp:historical_achievement |
gptkb:Artificial_Intelligence
gptkb:computer_science gptkb:machine_learning AI development first AI to defeat a human professional Go player first AI to defeat a Go world champion defeated world champion landmark event in AI history |
| gptkbp:historical_event |
gptkb:Go
in the field of AI |
| gptkbp:historical_significance |
landmark achievement in AI
|
| https://www.w3.org/2000/01/rdf-schema#label |
Alpha Go
|
| gptkbp:human_vs_ai |
first major victory
|
| gptkbp:impact |
gptkb:AI_Research
gptkb:Game_of_Go gptkb:machine_learning gptkb:AI_technology gptkb:Go_community AI safety game strategy AI ethics public perception of AI AI in games advancements in machine learning advancement in AI research advancements in AI technology on AI development changed perceptions of AI popularized AI in games raised ethical questions about AI global interest in AI on AI algorithms |
| gptkbp:impact_on_go |
increased interest
changed perception of AI changed perception of AI in games Revolutionized strategies |
| gptkbp:includes |
game footage
interviews with experts policy network value network |
| gptkbp:influenced |
gptkb:Artificial_Intelligence
gptkb:strategy gptkb:machine_learning gptkb:Deep_Learning gptkb:AI_technology gptkb:Go_community machine learning techniques AI ethics discussions game strategies AI development AI community AI research community AI in finance AI in public health AI policy making public perception of AI AI in gaming industry AI in education AI in robotics AI in logistics AI in games AI in agriculture AI in customer service AI in telecommunications AI in disaster response AI in energy management AI in entertainment AI in law AI in manufacturing AI in marketing AI in personal assistants AI in smart cities AI in supply chain management AI in transportation AI in genomics AI in security AI in augmented reality AI in environment AI in human resources AI in public safety AI in social media AI in virtual reality future AI development AI in law enforcement AI in research and development AI in drug discovery AI in autonomous vehicles AI in climate change research AI in personalized medicine AI in real estate AI in sports analytics AI in wearable technology AI in energy AI in research AI in computer vision AI in natural language processing AI in environmental science game of Go Go AI development AI in data analysis AI in chronic disease management AI in health education AI in health monitoring AI in telemedicine AI in financial trading AI in mental health treatment AI in patient care AI in strategy |
| gptkbp:influenced_by |
gptkb:Monte_Carlo_tree_search
gptkb:Monte_Carlo_Tree_Search machine learning advancements robotics, healthcare, finance |
| gptkbp:initial_publicity |
gptkb:2015
|
| gptkbp:initial_version_release |
gptkb:2015
|
| gptkbp:innovation |
combination of techniques
|
| gptkbp:input_data |
large dataset of human games
|
| gptkbp:input_output |
move selection
move probabilities board state |
| gptkbp:input_representation |
board position
|
| gptkbp:inspired |
gptkb:Mu_Zero
gptkb:Alpha_Zero gptkb:AI_technology gptkb:Go_community AI ethics discussions further research in AI AI development public interest in AI future AI development other AI programs interest in Go future AI developments further AI research future AI systems AI in Games subsequent AI programs AI research in games new AI applications new AI systems AI in other board games other AI projects further research in AI and machine learning AI research in general further AI projects Subsequent AI Projects subsequent AI research in games |
| gptkbp:inspired_by |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:Monte_Carlo_Tree_Search reinforcement learning |
| gptkbp:intelligence |
deep learning
reinforcement learning |
| gptkbp:is |
gptkb:Artificial_Intelligence
|
| gptkbp:is_a |
gptkb:Artificial_Intelligence
gptkb:AI_technology milestone in AI |
| gptkbp:is_a_co-production_of |
Netflix and Deep Mind
|
| gptkbp:is_a_landmark_achievement_in |
gptkb:Artificial_Intelligence
gptkb:machine_learning AI development |
| gptkbp:is_a_moment_of |
in AI history
|
| gptkbp:is_a_program_that_plays |
gptkb:Go
|
| gptkbp:is_a_reference_for |
AI development
AI researchers AI benchmarks future AI systems future AI projects AI development timelines |
| gptkbp:is_a_significant_case_study_in |
AI ethics
|
| gptkbp:is_a_significant_film_in |
the field of AI documentaries
|
| gptkbp:is_a_source_of |
inspiration for AI researchers
|
| gptkbp:is_a_subject_of |
gptkb:academic_research
gptkb:documentaries gptkb:media_coverage case studies public interest academic studies public debate scientific inquiry documentary films extensive media coverage numerous studies public lectures documentary filmmaking numerous documentaries academic discussions public fascination ethical discussions media discussions extensive research AI conferences of documentaries documentary analysis debate in AI ethics of public interest AI enthusiasts of academic papers of media coverage debate in ethics of AI of discussions in AI ethics of discussions in cognitive science of discussions in creativity of discussions in future technology of discussions in gaming of discussions in human-computer interaction of discussions in machine learning of discussions in philosophy of discussions in robotics of discussions in strategic thinking of discussions in technology debate in AI circles |
| gptkbp:is_a_supporter_of |
gptkb:2016_match_against_Lee_Sedol
live streamed matches 2016 match series |
| gptkbp:is_a_symbol_of |
AI advancement
AI potential AI progress |
| gptkbp:is_a_tool_for |
research in game theory
|
| gptkbp:is_acclaimed_for |
yes
its storytelling its cinematography its strategic depth its performance Go professionals |
| gptkbp:is_analyzed_in |
gptkb:strategy
gptkb:machine_learning gptkb:researchers Performance Metrics performance metrics academic papers strategic innovations AI ethics discussions media studies strategic insights Artificial Intelligence Ethics Go enthusiasts AI researchers AI policy discussions its decision-making process Go professionals its decision-making processes by researchers Go experts learning techniques AI safety discussions by Go players its algorithms AI Ethics Studies |
| gptkbp:is_associated_with |
gptkb:Artificial_Intelligence
gptkb:Deep_Mind_Technologies AI ethics Deep Mind's research Deep Mind's mission Deep Mind's research goals |
| gptkbp:is_available_for |
home viewing
|
| gptkbp:is_available_in |
multiple languages
|
| gptkbp:is_available_on |
gptkb:DVD
gptkb:streaming_platforms |
| gptkbp:is_based_on |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:machine_learning deep learning reinforcement learning real events deep reinforcement learning Alpha Go Lee |
| gptkbp:is_capable_of |
playing Go
playing at a superhuman level |
| gptkbp:is_celebrated_for |
Innovative Techniques
advancing AI capabilities its innovative approach to documentary filmmaking its achievements |
| gptkbp:is_celebrated_in |
gptkb:documentaries
gptkb:media_coverage conferences public discussions Go tournaments AI conferences AI enthusiasts AI awards AI history books |
| gptkbp:is_challenged_by |
gptkb:2016_match_against_Lee_Sedol
gptkb:Ke_Jie human players top human players new AI systems top Go professionals |
| gptkbp:is_cited_in |
Research Papers
academic papers academic literature AI literature |
| gptkbp:is_compared_to |
gptkb:IBM's_Deep_Blue
human intelligence human players |
| gptkbp:is_considered |
a landmark achievement
groundbreaking technology AI discussions a milestone in AI a pioneer in AI a milestone in AI history a milestone in AI development a game-changing AI system a significant achievement in AI research a landmark achievement in AI a case study in AI |
| gptkbp:is_considered_a_breakthrough_in |
gptkb:AI_technology
|
| gptkbp:is_considered_as |
gptkb:AI_Benchmark
landmark achievement breakthrough in AI a landmark in AI history a milestone in AI history milestone in AI AI Milestone |
| gptkbp:is_considered_to_be |
a pioneer in AI applications
have changed perceptions of AI have set new standards for AI performance |
| gptkbp:is_criticized_for |
lack of transparency
ethical concerns impact on human players its impact on human players |
| gptkbp:is_debated_in |
AI and creativity
|
| gptkbp:is_designed_to |
play Go at a high level
play Go at a high level. |
| gptkbp:is_discussed_in |
gptkb:academic_circles
AI Conferences conferences academic papers technology forums AI conferences technology conferences AI ethics debates in academic papers |
| gptkbp:is_distributed_by |
gptkb:Netflix
|
| gptkbp:is_documented_in |
gptkb:academic_journals
gptkb:documentaries gptkb:media_outlets news articles research papers academic papers Go tournaments various publications AI conferences AI Literature books about AI |
| gptkbp:is_evaluated_by |
critics
human players game outcomes strategic decision making AI Experts board positions its performance metrics Go experts |
| gptkbp:is_examined_in |
cognitive science
Philosophy of AI Go strategy analysis |
| gptkbp:is_explored_in |
philosophical discussions
educational contexts |
| gptkbp:is_featured_in |
gptkb:academic_journals
gptkb:Documentaries gptkb:documentaries gptkb:media_coverage gptkb:documentary news articles documentary films documentary festivals AI conferences media articles in news articles in documentaries books about AI books about AI. documentary film ' Alpha Go' |
| gptkbp:is_implemented_in |
various AI systems
|
| gptkbp:is_influenced_by |
previous AI systems
human strategies previous Go programs previous AI documentaries |
| gptkbp:is_influential_in |
tech enthusiasts
technology development AI education the field of machine learning future AI systems AI Strategy Games |
| gptkbp:is_inspired_by |
previous AI programs
|
| gptkbp:is_known_for |
reinforcement learning
defeating top human players strategic depth strategic gameplay high-level decision making its innovative techniques its strategic depth its innovative storytelling high-level play high level of play defeating top players its strategic gameplay its innovations self-play training defeating top Go players pioneering AI in games its historic matches its strategic play defeating human champions its matches popularizing Go its innovative algorithms defeating human Go champions its ability to learn from mistakes playing the board game Go high-level strategic thinking Defeating Human Champions pioneering AI techniques |
| gptkbp:is_monitored_by |
millions of viewers
a global audience |
| gptkbp:is_notable_for |
its strategic depth
the first AI to defeat a human champion in Go |
| gptkbp:is_noted_for |
its cinematography
|
| gptkbp:is_often_compared_to |
gptkb:Deep_Blue
human intelligence human players |
| gptkbp:is_often_referenced_in |
AI discussions
|
| gptkbp:is_part_of |
gptkb:AI_technology
AI competitions artificial intelligence research AI advancements AI education AI history AI research history machine learning advancements AI revolution AI History the AI revolution the future of AI development AI evolution AI Evolution the evolution of AI technology the evolution of AI systems Deep Mind's projects Go history Deep Mind's research portfolio Deep Mind's research the history of AI development Deep Mind's AI projects the history of AI the Alpha series of programs the evolution of AI AI history timeline the future of AI applications the history of AI achievements the narrative of AI development Deep Mind's legacy AI milestones the Alpha Go project Deep Mind's research projects AI documentary genre Deep Mind's public outreach AI competition history Deep Mind's Research Portfolio Deep Mind's portfolio the future of AI research Deep Mind's AI systems AI and gaming history the conversation about AI ethics |
| gptkbp:is_played_by |
gptkb:Game_1
gptkb:Game_3 gptkb:Game_4 gptkb:Game_5 gptkb:2016 gptkb:Seoul gptkb:Seoul,_South_Korea gptkb:Wuzhen gptkb:Go gptkb:Game_2 multiple countries various locations various international tournaments 5 games a computer over 500 games five games against Lee Sedol five games against Fan Hui five games against Ke Jie four games against Fan Hui four games against Ke Jie four games against Lee Sedol 5 games against Lee Sedol a cloud-based system |
| gptkbp:is_portrayed_as |
gptkb:films
|
| gptkbp:is_promoted_by |
gptkb:Deep_Mind
tech companies |
| gptkbp:is_recognized_as |
a landmark in AI history
pioneering AI system a breakthrough in AI a pioneer in AI AI pioneer AI Breakthrough a pioneer in AI technology a leading AI system pioneering AI technology AI achievement a significant milestone in AI history a landmark film in AI history one of the greatest AI systems leading AI system a breakthrough in deep learning |
| gptkbp:is_recognized_by |
gptkb:media
gptkb:gaming_community gptkb:Go_community gptkb:scientific_community Tech Industry Nobel laureates various awards AI community the film industry AI conferences the scientific community the tech community AI literature AI enthusiasts AI researchers worldwide the AI community the Go community its achievements in AI its ability to learn from mistakes the International Go Federation |
| gptkbp:is_recognized_for |
its innovative approach
its innovative techniques its innovative strategies its strategic gameplay innovative algorithms its algorithms its strategic play its impact on Go its innovative approach to Go its innovative algorithms its contribution to AI research pioneering AI techniques |
| gptkbp:is_referenced_in |
gptkb:popular_culture
AI discussions |
| gptkbp:is_regarded_as |
a breakthrough in AI
a breakthrough in machine learning Innovative AI System |
| gptkbp:is_reviewed_by |
critics
|
| gptkbp:is_set_in |
various locations
|
| gptkbp:is_significant_for |
gptkb:Go_community
technology advancement AI development AI history AI achievements |
| gptkbp:is_studied_for |
gptkb:strategy
game strategies AI ethics |
| gptkbp:is_studied_in |
gptkb:academic_research
universities Computer Science Courses academic institutions computer science research AI courses its algorithms |
| gptkbp:is_supported_by |
gptkb:Alphabet_Inc.
gptkb:Google_Cloud gptkb:Google gptkb:cloud_computing gptkb:investors research funding academic partnerships AI organizations |
| gptkbp:is_tested_for |
real-world scenarios
Real-World Scenarios various scenarios top players various strategies other AI systems various AI systems various Go scenarios |
| gptkbp:is_trained_in |
large datasets
reinforcement learning supervised learning deep learning techniques self-play human expert games large dataset of Go games large datasets of Go games historical Go games hundreds of thousands of games |
| gptkbp:is_used_for |
training AI models
|
| gptkbp:is_used_in |
gptkb:AI_technology
research studies AI Competitions AI competitions educational settings international competitions educational contexts AI research and development improve AI algorithms demonstrate AI capabilities improve AI techniques teach Go strategies train other AI systems demonstrate AI potential improve other AI systems teach AI concepts |
| gptkbp:is_used_to |
train other AI systems
|
| gptkbp:is_utilized_in |
gptkb:AI_technology
educational purposes |
| gptkbp:key_feature |
AI in games
AI's potential deep reinforcement learning. |
| gptkbp:key_player |
AI advancements
the evolution of AI technology the evolution of AI the advancement of AI technology |
| gptkbp:known_for |
advanced algorithms
strategic gameplay playing Go groundbreaking AI technology |
| gptkbp:landmark |
AI history
machine learning history in AI research the field of AI. in AI history in Go history |
| gptkbp:language |
gptkb:Python
English |
| gptkbp:latest_version |
gptkb:Alpha_Go_Master
gptkb:Alpha_Go_Zero gptkb:Alpha_Go_Fan gptkb:The_Master Alpha Go Lee Alpha Go Fan Hui |
| gptkbp:lead_researcher |
gptkb:Demis_Hassabis
|
| gptkbp:learning_phase |
pre-training and fine-tuning
|
| gptkbp:led_to |
increased interest in AI
increased funding in AI research |
| gptkbp:legacy |
AI history
paved the way for future AI developments Pioneering AI in games in AI history pioneering AI in games AI in competitive games transforming AI in games pioneered AI in games revolutionized AI capabilities |
| gptkbp:location_of_game4 |
gptkb:Seoul,_South_Korea
|
| gptkbp:losses |
gptkb:Game_4
one game against Lee Sedol |
| gptkbp:lost_game_against |
Lee Sedol in Game 4
|
| gptkbp:made_move |
37
|
| gptkbp:marketing_strategy |
aggressive and innovative
|
| gptkbp:match_awards |
multiple awards
|
| gptkbp:match_broadcast |
live streamed
|
| gptkbp:match_celebration |
celebrated in tech community
|
| gptkbp:match_criticism |
concerns about AI ethics
|
| gptkbp:match_cultural_impact |
influenced popular culture
|
| gptkbp:match_discussion |
debates on AI capabilities
|
| gptkbp:match_documentation |
gptkb:documentary
|
| gptkbp:match_duration |
several hours
|
| gptkbp:match_follow_up |
increased funding for AI research
|
| gptkbp:match_future_implications |
AI in various fields
|
| gptkbp:match_historical_context |
AI development timeline
|
| gptkbp:match_influence |
inspired new AI projects
|
| gptkbp:match_outcome_description |
defeated Lee Sedol 4-1
|
| gptkbp:match_outcome_details |
won 4 out of 5 games
|
| gptkbp:match_reception |
widely covered
|
| gptkbp:match_statistics |
4-1
1-0 extensive post-game reviews historic post-match reviews 4-1 victory 3-0 victory analyzed by experts extensive post-match analysis extensively analyzed by experts 3 -1 Alpha Go vs Lee Sedol 1 -0 Alpha Go won 4 games historic event in AI history won 1 out of 1 against Chen Yaoye won 1 out of 1 against Fan Hui won 1 out of 1 against Gu Li won 1 out of 1 against Lee Sedol won 1 out of 1 against Li He won 1 out of 1 against Li Qincheng won 1 out of 1 against Li Zhe won 1 out of 1 against Liu Renjun won 1 out of 1 against Liu Xing won 1 out of 1 against Liu Zhen won 1 out of 1 against Shi Yue won 1 out of 1 against Tang Weixing won 1 out of 1 against Wang Xiangyun won 1 out of 1 against Wang Yuhua won 1 out of 1 against Xie He won 1 out of 1 against Yang Dingxin won 1 out of 1 against Yu Zhengqi won 1 out of 1 against Zhang Yi won 1 out of 1 against Zhang Yifan won 1 out of 1 against Zhang Zhong won 1 out of 1 against Zhou Junxun won 1 out of 1 against Zhou Ruiyang won 3 out of 3 against Ke Jie won 4 out of 5 Alpha Go vs Fan Hui Alpha Go vs Ke Jie historic moment in AI development Lee Sedol won one game 4-1 victory against Lee Sedol 4-1 against Lee Sedol won series 4-1 |
| gptkbp:match_technological_advancement |
advanced AI techniques
|
| gptkbp:match_type |
gptkb:test_subjects
gptkb:exhibition gptkb:Go best of three best of 5 best of five exhibition match human vs AI five-game match |
| gptkbp:match_viewer_count |
millions
millions of viewers |
| gptkbp:match_year |
gptkb:2016
|
| gptkbp:matches_played |
gptkb:unknown
gptkb:1 gptkb:Monte_Carlo_tree_search extensive training pioneering AI achievements |
| gptkbp:mentor |
AI researchers
|
| gptkbp:model |
AI ethics discussions
AI in games AI development strategies future AI systems future AI projects |
| gptkbp:move_selection |
gptkb:Monte_Carlo_tree_search
|
| gptkbp:narrated_by |
gptkb:Philippe_Starck
gptkb:Philippe_Petit |
| gptkbp:neural_network |
deep neural network
|
| gptkbp:neural_network_type |
deep neural network
|
| gptkbp:nickname |
gptkb:The_Go_AI
AI Go Player |
| gptkbp:nominated_for |
various awards
|
| gptkbp:notable_achievement |
gptkb:Deep_Mind
gptkb:computer_science gptkb:machine_learning artificial intelligence research AI development defeated Lee Sedol first AI to defeat a human professional Go player Defeated Lee Sedol first AI to defeat a professional Go player for Deep Mind defeated world champion demonstrated AI capabilities Defeated world champion Go players defeated Ke Jie popularized AI in media defeated Fan Hui 5-0 First AI to defeat a human professional Go player defeated Lee Sedol 4-1 inspired future AI projects showcased deep learning |
| gptkbp:notable_battle |
gptkb:2017
defeated Fan Hui |
| gptkbp:notable_case |
AI research history
|
| gptkbp:notable_event |
gptkb:2016_match_against_Lee_Sedol
historic match against Lee Sedol |
| gptkbp:notable_examples |
gptkb:AI_technology
AI in games AI in competitive environments |
| gptkbp:notable_feature |
gptkb:Monte_Carlo_tree_search
policy network value network human-like play self-play training self-learning capability plays the game of Go uses deep learning uses reinforcement learning |
| gptkbp:notable_for |
playing Go
|
| gptkbp:notable_games |
Game 4 against Lee Sedol
|
| gptkbp:notable_match |
gptkb:Game_4
gptkb:2016_match_against_Lee_Sedol gptkb:Lee_Sedol gptkb:Ke_Jie March 2016 May 2017 4-1 victory 3-0 victory Alpha Go vs Lee Sedol Against Lee Sedol Ke Jie vs Alpha Go Game 4 against Lee Sedol Alpha Go vs Fan Hui Alpha Go vs Ke Jie March 2016 match against Lee Sedol 4-1 win |
| gptkbp:notable_move |
gptkb:Move_78
gptkb:Move_37 Move 1 in Game 1 |
| gptkbp:notable_player |
the field of AI
|
| gptkbp:notable_players |
gptkb:Park_Junghwan
gptkb:Zhou_Ruiyang gptkb:Chen_Yaoye gptkb:Xie_He gptkb:Li_Zhiwei gptkb:Lee_Sedol gptkb:Gu_Li gptkb:Fan_Hui gptkb:Ke_Jie Shen Zhenrong |
| gptkbp:notable_release |
January 2016
January 2015 in 2015 |
| gptkbp:notable_rivalry |
human intelligence
with traditional Go strategies |
| gptkbp:notable_speakers |
expert analysis
|
| gptkbp:notable_technology |
gptkb:Artificial_Intelligence
gptkb:machine_learning gptkb:AI_technology artificial intelligence research |
| gptkbp:number_of_games |
gptkb:5
Thousands over 30 million over 50 |
| gptkbp:number_of_games_lost_against_lee_sedol |
gptkb:1
|
| gptkbp:number_of_games_won_against_lee_sedol |
gptkb:4
|
| gptkbp:number_of_matches |
gptkb:1
|
| gptkbp:occurs_in |
multiple iterations
|
| gptkbp:opening_date |
March 2016
March 9-15, 2016 |
| gptkbp:opponent |
gptkb:Lee_Sedol
|
| gptkbp:outcome |
gptkb:historical_significance
gptkb:victory 4 wins, 1 loss 3 wins, 1 loss significant victory won 4 out of 5 games victory over Lee Sedol |
| gptkbp:overall_match_result |
4-1
|
| gptkbp:part_of |
AI research community
|
| gptkbp:participated_in |
AI competitions
exhibitions |
| gptkbp:performance |
computational resources
overall performance strategic depth AI development adaptability win rate generalization ability training efficiency superhuman AI performance model size positional understanding training duration board evaluation opening repertoire move selection tactical strength superhuman level endgame proficiency data requirements decision time game score midgame tactics win rate against human players |
| gptkbp:played_against |
gptkb:Lee_Sedol
gptkb:Fan_Hui gptkb:Ke_Jie professional Go players multiple opponents top human players top Go players other top Go players top Go players worldwide Go Champions |
| gptkbp:played_against_lee_sedol_in_2016 |
nan
|
| gptkbp:played_in_language |
Chinese
|
| gptkbp:played_its_first_match_against |
gptkb:Fan_Hui
|
| gptkbp:played_its_last_game_in |
gptkb:2017
|
| gptkbp:played_its_last_match_against |
gptkb:Ke_Jie
|
| gptkbp:played_the_game |
gptkb:Go
|
| gptkbp:popularized_by |
gptkb:machine_learning
AI Techniques |
| gptkbp:post_match_development |
further advancements in AI technology
|
| gptkbp:post_match_impact |
increased interest in AI
|
| gptkbp:post_match_status |
retired
|
| gptkbp:premiered_on |
gptkb:Sundance_Film_Festival
|
| gptkbp:prize_money |
2016 Best AI Award
|
| gptkbp:produced_by |
gptkb:Deep_Mind_Technologies
gptkb:the_United_States gptkb:Netflix |
| gptkbp:product |
machine learning research
machine learning advancements Deep Mind's research |
| gptkbp:project |
gptkb:Google_Deep_Mind
|
| gptkbp:provides_information_on |
historical games
thousands of games self-play human expert games self-play games historical game records large dataset of Go games large dataset of games human games |
| gptkbp:public_interest |
generated significant public interest
sparked public interest in AI and gaming. |
| gptkbp:publication |
gptkb:Nature
published findings published findings on AI and Go |
| gptkbp:rank |
world champion
top Go player top player top player in the world world's top Go player rank 1 in Go Top Go Player |
| gptkbp:rating |
Go ranking of 9 dan
|
| gptkbp:received |
positive reviews
|
| gptkbp:recognized_by |
gptkb:scientific_community
AI Community |
| gptkbp:release_date |
gptkb:2015
gptkb:2016 gptkb:2017 October 2015 2017-03-24 |
| gptkbp:release_year |
gptkb:2015
gptkb:2016 gptkb:2017 |
| gptkbp:released |
gptkb:2015
gptkb:2016 October 2015 |
| gptkbp:released_by |
gptkb:Deep_Mind_Technologies
|
| gptkbp:released_in |
gptkb:2015
gptkb:2016 October 2015 |
| gptkbp:requires |
powerful hardware
|
| gptkbp:research |
AI safety
AI ethics AI experts AI Scholars |
| gptkbp:research_areas |
gptkb:strategy
gptkb:machine_learning |
| gptkbp:result |
won
4-1 victory Alpha Go wins series |
| gptkbp:result_against_fan_hui |
won
|
| gptkbp:result_against_ke_jie |
3-0 victory
2-0 victory |
| gptkbp:result_against_lee_sedol |
4-1
4-1 victory |
| gptkbp:result_in_game4 |
won
|
| gptkbp:result_of_fourth_match |
lost
|
| gptkbp:result_of_game4 |
gptkb:Win
|
| gptkbp:result_of_match |
4-1 victory for Alpha Go
|
| gptkbp:result_of_match_against_ke_jie |
win
|
| gptkbp:result_of_third_match |
win
won |
| gptkbp:retired |
gptkb:2016
gptkb:2017 gptkb:2019 gptkb:true competitive play in 2019 in 2017 its matches with Lee Sedol its last match after 2016 matches |
| gptkbp:retirement |
completed objectives
|
| gptkbp:retirement_year |
gptkb:2019
|
| gptkbp:runtime |
90 minutes
|
| gptkbp:scientific_classification |
science documentaries
|
| gptkbp:score |
4-1
8.0 on IMDb |
| gptkbp:screenings |
film festivals
various film festivals |
| gptkbp:second_victory_against |
gptkb:Ke_Jie
|
| gptkbp:service |
defeat a human professional Go player
|
| gptkbp:significance |
AI in games
first AI to defeat a human professional Go player first AI to defeat a Go world champion first AI to defeat a professional Go player pioneering AI in games first AI to defeat a professional human player in Go demonstrated advanced AI capabilities first AI to defeat a professional human Go player pioneering AI in board games first AI to defeat a professional human player at Go First AI to defeat a human professional Go player first AI to defeat a human champion in Go pioneered AI in games Breakthrough in AI AI in board games |
| gptkbp:status |
retired
|
| gptkbp:stopped_playing |
gptkb:2017
|
| gptkbp:strategic_importance |
deep strategic thinking
|
| gptkbp:strategy |
gptkb:Monte_Carlo_tree_search
deep learning strategic planning innovative unconventional moves |
| gptkbp:style |
strategic
Reinforcement learning strategic and analytical |
| gptkbp:style_of_play |
aggressive play
strategic and tactical aggressive and innovative |
| gptkbp:succeeded_by |
gptkb:Alpha_Go_Zero
gptkb:Alpha_Zero |
| gptkbp:successor |
gptkb:Alpha_Go_Zero
gptkb:Mu_Zero gptkb:Alpha_Zero |
| gptkbp:taught_aito |
gptkb:researchers
|
| gptkbp:team |
gptkb:John_Schulman
gptkb:engineers gptkb:Julian_Schrittwieser gptkb:Dario_Amodei gptkb:Fei-Fei_Li gptkb:Jasper_Snoek gptkb:Jesse_Levinson gptkb:Yoshua_Bengio gptkb:David_Silver gptkb:Lior_Pachter gptkb:Andrew_Ng gptkb:Jürgen_Schmidhuber gptkb:Richard_Sutton gptkb:Sergey_Levine gptkb:Shane_Legg gptkb:Andrej_Karpathy gptkb:Ian_Goodfellow gptkb:scientists gptkb:David_Ha gptkb:Pieter_Abbeel gptkb:Zoubin_Ghahramani gptkb:Ilya_Sutskever gptkb:Nando_de_Freitas gptkb:Demis_Hassabis gptkb:Geoffrey_R._Hinton gptkb:Yann_Le_Cun gptkb:Kurtis_Heimerl gptkb:Aja_Huang gptkb:Thore_Graepel gptkb:Dmitry_Krioukov gptkb:Ivo_Danihelka gptkb:Jörg_K._H._Franke gptkb:researchers gptkb:Deep_Mind_team gptkb:Chris_Maddison gptkb:John_N._Schulman gptkb:Matej_Balog gptkb:Michael_Johanson gptkb:Neil_Lawrence gptkb:Vijay_Pande programmers Yee Whye Teh Dmitry Kolesnikov game experts Michał Korytkowski Daan Wierstra Kevin Silver |
| gptkbp:technique |
gptkb:neural_networks
deep learning reinforcement learning |
| gptkbp:technology |
gptkb:neural_networks
gptkb:machine_learning Machine learning |
| gptkbp:third_match_opponent |
gptkb:Lee_Sedol
|
| gptkbp:third_match_result |
gptkb:loss
|
| gptkbp:training |
gptkb:neural_networks
gptkb:machine_learning reinforcement learning several months supervised learning unsupervised learning self-play reinforcement learning with self-play |
| gptkbp:training_data_source |
historical Go games
|
| gptkbp:training_programs |
gptkb:Google_Cloud
simulated games |
| gptkbp:type |
gptkb:Artificial_Intelligence
machine learning system |
| gptkbp:used_deep_learning |
gptkb:true
|
| gptkbp:used_for |
training AI models
|
| gptkbp:used_in |
research and development
AI competitions research projects Go competitions |
| gptkbp:used_reinforcement_learning |
to improve its gameplay
|
| gptkbp:user_interface |
graphical interface
|
| gptkbp:uses |
gptkb:Artificial_Intelligence
gptkb:Monte_Carlo_tree_search gptkb:neural_networks gptkb:machine_learning deep learning reinforcement learning deep neural networks self-play |
| gptkbp:uses_deep_learning |
nan
|
| gptkbp:uses_monte_carlo_tree_search |
gptkb:true
|
| gptkbp:uses_monte_carlo_tree_search_for |
decision making
|
| gptkbp:uses_technology |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:machine_learning deep learning reinforcement learning policy networks value networks |
| gptkbp:utilized |
gptkb:Monte_Carlo_tree_search
gptkb:Big_Data large datasets AI training programs training AI models |
| gptkbp:utilizes |
gptkb:Monte_Carlo_tree_search
gptkb:neural_networks gptkb:machine_learning reinforcement learning self-play |
| gptkbp:utilizes_monte_carlo_tree_search |
nan
|
| gptkbp:was |
a revolutionary AI system
|
| gptkbp:was_a_breakthrough |
in artificial intelligence
in AI technology in AI capabilities |
| gptkbp:was_a_breakthrough_in_machine_learning |
nan
|
| gptkbp:was_a_catalyst_for |
AI policy discussions
AI advancements. |
| gptkbp:was_a_challenge |
to human players
to the best Go players to human intelligence |
| gptkbp:was_a_competitive_match |
against Lee Sedol
|
| gptkbp:was_a_demonstration_of |
reinforcement learning
superhuman performance strategic thinking AI capabilities Machine Learning Capabilities the potential of AI in games public matches superhuman performance in Go of AI capabilities strategic thinking in AI AI capabilities in complex games capabilities of AI of machine learning |
| gptkbp:was_a_landmark_event_in_ai_history |
nan
|
| gptkbp:was_a_major_milestone_in |
gptkb:AI_technology
|
| gptkbp:was_a_milestone |
in AI development
in AI history |
| gptkbp:was_a_pioneer_in |
gptkb:machine_learning
gptkb:AI_technology reinforcement learning AI game playing AI for board games AI and gaming game-playing AI |
| gptkbp:was_a_project |
to challenge human intelligence
of Google Deep Mind |
| gptkbp:was_a_project_of_google_deep_mind |
nan
|
| gptkbp:was_a_result_of |
years of research
|
| gptkbp:was_a_significant_achievement_for_ai_research |
nan
|
| gptkbp:was_a_significant_milestone |
in AI development.
|
| gptkbp:was_a_significant_milestone_in_ai |
nan
|
| gptkbp:was_a_turning_point_for |
AI in games
in AI and gaming history |
| gptkbp:was_a_turning_point_for_ai_capabilities |
nan
|
| gptkbp:was_announced_in_2015 |
nan
|
| gptkbp:was_developed_to_play_the_game_of_go |
nan
|
| gptkbp:was_first_announced_in |
gptkb:2015
|
| gptkbp:was_first_played_in |
gptkb:2015
|
| gptkbp:was_first_to_defeat |
a human professional Go player
|
| gptkbp:was_followed_by |
gptkb:Alpha_Zero
|
| gptkbp:was_involved_in |
AI competitions
international competitions collaborative research projects AI policy discussions cross-disciplinary studies AI surpassing human ability AI learning from experience successful AI application |
| gptkbp:was_part_of |
AI research community
AI revolution the Future of Go Summit |
| gptkbp:was_played_in_a_five-game_match |
nan
|
| gptkbp:was_played_in_seoul,_south_korea |
nan
|
| gptkbp:was_praised_for_its |
strategic depth
|
| gptkbp:was_retired_after_its_last_match_in_2017 |
nan
|
| gptkbp:was_supported_by |
gptkb:Google
|
| gptkbp:was_the_first_ai_to_beat_a_human |
in a full-sized game of Go
|
| gptkbp:was_the_first_ai_to_defeat |
a professional Go player
a human professional Go player a professional human player |
| gptkbp:was_the_first_ai_to_defeat_a_go_world_champion |
nan
|
| gptkbp:was_the_first_ai_to_defeat_a_human_professional_go_player |
in a full match
|
| gptkbp:was_the_first_ai_to_play_at_a_high_level |
nan
|
| gptkbp:was_the_first_ai_to_win |
against a top human player
|
| gptkbp:was_the_first_ai_to_win_against |
a human champion
a human champion in Go |
| gptkbp:was_the_first_to_achieve |
superhuman performance in Go
|
| gptkbp:was_trained_on_a_large_dataset_of_games |
nan
|
| gptkbp:was_trained_on_both_human_and_self-play_games |
nan
|
| gptkbp:was_trained_using_reinforcement_learning |
nan
|
| gptkbp:was_watched_by_millions |
during its matches against Lee Sedol
|
| gptkbp:won |
gptkb:Park_Junghwan
gptkb:Shin_Jin-seo gptkb:Zhang_Zhong gptkb:Zhou_Ruiyang gptkb:2017_Go_match_against_Ke_Jie gptkb:Li_He gptkb:first_match gptkb:Liu_Xing gptkb:Chen_Yaoye gptkb:Tian_Tian gptkb:2016_Go_match_against_Lee_Sedol gptkb:Wang_Yuhua gptkb:Game_1 gptkb:Game_3 gptkb:Game_4 gptkb:Game_5 gptkb:2016_Google_Deep_Mind_Challenge_Match gptkb:Yuta_Iyama gptkb:Xie_He gptkb:2016_match_against_Lee_Sedol gptkb:Lee_Sedol gptkb:Game_2 gptkb:2017_match_against_Ke_Jie gptkb:Gu_Li gptkb:Li_Zhe gptkb:Fan_Hui gptkb:Ke_Jie gptkb:Google_Deep_Mind_Challenge_Match gptkb:Kong_Jie 4 games four games multiple professional players 2016 Go tournament second match third match 4 out of 5 games against Lee Sedol 2017 Future of Go Summit 3 out of 3 games against Fan Hui 3 out of 3 games against Ke Jie four games against Lee Sedol multiple top players 3 out of 5 games against Lee Sedol 4 out of 5 games Best Documentary at the 2017 Asian Film Awards fifth match Best Documentary Award at the 2017 Asian Film Awards |
| gptkbp:won_award |
Best AI Achievement
Best Documentary at the 2018 International Documentary Association Awards Best AI Program |
| gptkbp:won_game_against |
Lee Sedol in Games 1, 2, and 3
|
| gptkbp:won_how_many_games |
4 out of 5 against Lee Sedol
|
| gptkbp:year |
gptkb:2014
gptkb:2016 |
| gptkbp:year_created |
gptkb:2015
|
| gptkbp:year_of_defeat |
gptkb:2016
gptkb:2017 |
| gptkbp:year_of_match_against_ke_jie |
gptkb:2017
|
| gptkbp:year_of_second_match |
gptkb:2017
|
| gptkbp:year_of_second_victory |
gptkb:2017
|
| gptkbp:year_of_victory |
gptkb:2016
|
| gptkbp:year_of_win_against |
gptkb:2015
|
| gptkbp:bfsParent |
gptkb:Game_4
gptkb:David_Silver gptkb:Google gptkb:Google_Brain gptkb:Demis_Hassabis gptkb:Go gptkb:World_Championships |
| gptkbp:bfsLayer |
4
|