|
gptkbp:instance_of
|
gptkb:collaboration
|
|
gptkbp:challenges
|
regulatory compliance
public trust
data privacy concerns
AI bias
scalability of AI solutions
|
|
gptkbp:has_a_focus_on
|
gptkb:machine_learning
healthcare
gaming
neuroscience
artificial intelligence research
|
|
gptkbp:has_events
|
gptkb:Neur_IPS_Conference
gptkb:CVPR_Conference
gptkb:ICML_Conference
gptkb:AAAI_Conference
AI for Healthcare Summit
|
|
gptkbp:has_goal
|
solving complex problems
advancing AI technology
improving human health
developing ethical AI practices
enhancing scientific research
|
|
gptkbp:has_project
|
gptkb:Alpha_Fold
gptkb:Alpha_Star
gptkb:Deep_Mind_Health
gptkb:Wave_Net
|
|
gptkbp:has_publications
|
gptkb:Artificial_Intelligence_Journal
gptkb:Journal_of_Machine_Learning_Research
gptkb:Nature
gptkb:Proceedings_of_the_National_Academy_of_Sciences
gptkb:Science
|
|
gptkbp:has_technology
|
gptkb:neural_networks
computer vision
deep learning
natural language processing
reinforcement learning
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind AI Collaborations
|
|
gptkbp:is_located_in
|
gptkb:London
|
|
gptkbp:is_part_of
|
AI research community
|
|
gptkbp:is_supported_by
|
gptkb:Alphabet_Inc.
|
|
gptkbp:outcome
|
collaborative research papers
AI systems for video games
advancements in AI for medical imaging
improved protein folding predictions
|
|
gptkbp:partnership
|
gptkb:Google
gptkb:NHS
Academic Institutions
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|