|
gptkbp:instance_of
|
gptkb:Research_Institute
|
|
gptkbp:aims_to
|
Advance AI capabilities
|
|
gptkbp:applies_to
|
gptkb:neural_networks
gptkb:machine_learning
|
|
gptkbp:collaborates_with
|
gptkb:University_of_Oxford
gptkb:University_College_London
|
|
gptkbp:contributes_to
|
gptkb:strategy
|
|
gptkbp:developed_by
|
gptkb:Alpha_Go
gptkb:DQN
gptkb:Alpha_Star
|
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
|
|
gptkbp:funding
|
gptkb:Alphabet_Inc.
|
|
gptkbp:has_goal
|
Create General AI
Enhance Learning Algorithms
Improve Game Strategies
Understand Human Intelligence
|
|
gptkbp:has_impact_on
|
gptkb:Video_Game_Industry
gptkb:Education
Healthcare
AI Research Community
|
|
gptkbp:has_location
|
gptkb:London
gptkb:United_Kingdom
|
|
gptkbp:has_publications
|
gptkb:Journal_of_Machine_Learning_Research
gptkb:Nature
gptkb:Proceedings_of_the_National_Academy_of_Sciences
gptkb:Science
|
|
gptkbp:has_research_areas
|
gptkb:Multi-Agent_Systems
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
Game Playing AI
|
|
gptkbp:has_team
|
AI Researchers
Data Scientists
Software Engineers
Game Designers
|
|
gptkbp:has_website
|
https://deepmind.com/research/games
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind Games Research
|
|
gptkbp:is_known_for
|
Playing Go
Playing Dota 2
Playing Star Craft II
|
|
gptkbp:is_led_by
|
gptkb:Demis_Hassabis
|
|
gptkbp:is_supported_by
|
Research Collaborations
Private Investment
Public Funding
AI Ethics Guidelines
|
|
gptkbp:known_for
|
gptkb:machine_learning
|
|
gptkbp:part_of
|
gptkb:Deep_Mind
|
|
gptkbp:research
|
gptkb:strategy
|
|
gptkbp:uses
|
gptkb:simulation
Data Analysis
|
|
gptkbp:uses_technology
|
gptkb:cloud_computing
gptkb:Big_Data
High-Performance Computing
Distributed Systems
|
|
gptkbp:year_established
|
gptkb:2010
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|