|
gptkbp:instance_of
|
gptkb:AI_technology
|
|
gptkbp:aims_to
|
accelerate scientific discovery
|
|
gptkbp:applies_to
|
materials science
drug discovery
climate modeling
protein folding
|
|
gptkbp:collaborated_with
|
industry partners
academic researchers
|
|
gptkbp:collaborates_with
|
gptkb:scientific_institutions
|
|
gptkbp:contributes_to
|
open science
|
|
gptkbp:developed_by
|
gptkb:Deep_Mind
|
|
gptkbp:focuses_on
|
gptkb:scientific_research
|
|
gptkbp:has_achieved
|
gptkb:Alpha_Fold
scientific publications
|
|
gptkbp:has_impact_on
|
gptkb:scientific_community
AI community
research methodologies
|
|
gptkbp:has_part
|
gptkb:Alpha_Fold_2
Deep Mind's research team
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind AI for Science
|
|
gptkbp:is_associated_with
|
data sharing
AI ethics discussions
collaborative research
scientific integrity
|
|
gptkbp:is_documented_in
|
research papers
case studies
technical reports
white papers
|
|
gptkbp:is_evaluated_by
|
peer review
|
|
gptkbp:is_funded_by
|
grants
investments
|
|
gptkbp:is_influenced_by
|
AI ethics
|
|
gptkbp:is_part_of
|
Deep Mind's mission
|
|
gptkbp:is_promoted_by
|
gptkb:academic_journals
conferences
|
|
gptkbp:is_recognized_by
|
Nobel laureates
government agencies
research institutions
leading scientists
|
|
gptkbp:is_recognized_for
|
advancements in AI
|
|
gptkbp:is_supported_by
|
gptkb:Google
|
|
gptkbp:is_used_in
|
environmental science
biological research
healthcare research
|
|
gptkbp:promotes
|
gptkb:sustainable_development
interdisciplinary research
innovation in science
AI for good
|
|
gptkbp:uses
|
gptkb:neural_networks
|
|
gptkbp:utilizes
|
gptkb:machine_learning
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|