Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:AI_technology
|
| gptkbp:aims_to |
improve AI capabilities
|
| gptkbp:collaborated_with |
government agencies
non-profit organizations industry partners various research institutions |
| gptkbp:developed_by |
gptkb:Deep_Mind
|
| gptkbp:focuses_on |
reinforcement learning
|
| gptkbp:has_applications_in |
gptkb:robotics
healthcare gaming |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind Phoenix
|
| gptkbp:is_based_on |
previous Deep Mind research
|
| gptkbp:is_designed_for |
complex problem solving
|
| gptkbp:is_discussed_in |
gptkb:academic_journals
AI conferences |
| gptkbp:is_documented_in |
research papers
technical reports |
| gptkbp:is_evaluated_by |
performance metrics
user feedback benchmark tests peer-reviewed studies |
| gptkbp:is_expected_to |
improve efficiency
reduce operational costs drive innovation transform industries optimize resource allocation enhance decision making create new job opportunities advance AI research enhance user experiences foster collaboration between humans and AI |
| gptkbp:is_influenced_by |
human cognitive processes
|
| gptkbp:is_monitored_by |
AI safety teams
|
| gptkbp:is_part_of |
AI ethics discussions
AI research community AI policy discussions AI research ethics AI safety frameworks AI development roadmap AI governance structures AI strategy initiatives Deep Mind projects |
| gptkbp:is_promoted_by |
Deep Mind publications
|
| gptkbp:is_related_to |
gptkb:Artificial_Intelligence
gptkb:machine_learning data science |
| gptkbp:is_supported_by |
gptkb:Google_Cloud
AI funding initiatives |
| gptkbp:is_tested_for |
real-world scenarios
simulated environments |
| gptkbp:released_in |
gptkb:2023
|
| gptkbp:utilizes |
gptkb:neural_networks
|
| gptkbp:bfsParent |
gptkb:Deep_Mind
|
| gptkbp:bfsLayer |
5
|