Properties (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:awardedBy |
various accolades
|
| gptkbp:basedOn |
reinforcement learning
|
| gptkbp:completed |
superhuman performance
|
| gptkbp:contributedTo |
the understanding of neural networks
|
| gptkbp:defeated |
AlphaGo Master
top human players |
| gptkbp:developedBy |
DeepMind
|
| gptkbp:diedIn |
Go
|
| gptkbp:environmentalProtection |
AI technology
|
| gptkbp:exhibits |
the power of AI in strategic games
|
| gptkbp:has |
no prior knowledge of Go
|
| gptkbp:has_a |
no human intervention
|
| gptkbp:has_a_focus_on |
AI researchers
|
| https://www.w3.org/2000/01/rdf-schema#label |
AlphaGo Zero
|
| gptkbp:impact |
AI ethics discussions
|
| gptkbp:influenced |
AI development in other fields
further_research_in_AI |
| gptkbp:introduced |
Demis Hassabis
|
| gptkbp:is_a_key_player_in |
the AI revolution
|
| gptkbp:is_a_model_for |
complex problem solving
future AI systems other strategic AI applications |
| gptkbp:is_a_resource_for |
AI performance
|
| gptkbp:is_a_subject_of |
academic studies
unsupervised learning public fascination |
| gptkbp:is_featured_in |
documentaries
academic papers |
| gptkbp:is_involved_in |
machine learning
|
| gptkbp:is_known_for |
its innovative training methods
|
| gptkbp:is_part_of |
DeepMind's AI portfolio
AlphaGo_project |
| gptkbp:is_recognized_for |
its efficiency in learning
the_AI_community |
| gptkbp:is_referenced_in |
AI competitions
AI literature |
| gptkbp:is_studied_in |
AI capabilities
its impact on society its decision-making processes |
| gptkbp:is_used_in |
human intelligence
media outlets conferences educational contexts |
| gptkbp:learnsMove |
self-play
|
| gptkbp:led_to |
algorithm development
|
| gptkbp:notable_event |
computer science
AI research |
| gptkbp:notableEvent |
AI's_capabilities_in_games
|
| gptkbp:notableFeature |
AI history
|
| gptkbp:publishedBy |
scientific journals
|
| gptkbp:releasedIn |
2017
|
| gptkbp:successor |
gptkb:AlphaGo
|
| gptkbp:taught |
40 days
|
| gptkbp:training |
multiple GPUs
|
| gptkbp:uses |
neural networks
human data |
| gptkbp:utilizes |
gptkb:Monte_Carlo_tree_search
|
| gptkbp:was_a_result_of |
the potential of AI in games
|