|
gptkbp:instance_of
|
gptkb:Artificial_Intelligence
|
|
gptkbp:aims_to_improve
|
data analysis
energy efficiency
operational costs
|
|
gptkbp:applies_to
|
gptkb:smart_home_devices
|
|
gptkbp:collaborated_with
|
various industries
|
|
gptkbp:contributes_to
|
smart city initiatives
|
|
gptkbp:developed_by
|
gptkb:Deep_Mind
|
|
gptkbp:enhances
|
user experience
|
|
gptkbp:exhibited_at
|
technology conferences
|
|
gptkbp:facilitates
|
automated decision making
|
|
gptkbp:focuses_on
|
gptkb:Internet_of_Things
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind's AI for Internet of Things
|
|
gptkbp:is_adopted_by
|
businesses
|
|
gptkbp:is_based_on
|
gptkb:neural_networks
|
|
gptkbp:is_collaborative_with
|
academic institutions
technology startups
other AI technologies
|
|
gptkbp:is_compatible_with
|
various platforms
|
|
gptkbp:is_designed_for
|
scalability
|
|
gptkbp:is_documented_in
|
academic papers
|
|
gptkbp:is_enhanced_by
|
feedback loops
|
|
gptkbp:is_evaluated_by
|
performance metrics
user feedback
performance improvement
cost-effectiveness
ethical implications
scalability challenges
|
|
gptkbp:is_focused_on
|
sustainability
user engagement
user privacy
|
|
gptkbp:is_influenced_by
|
big data
|
|
gptkbp:is_influential_in
|
gptkb:AI_technology
|
|
gptkbp:is_integrated_with
|
gptkb:Io_T_devices
gptkb:cloud_computing
data visualization tools
artificial intelligence frameworks
|
|
gptkbp:is_optimized_for
|
resource management
|
|
gptkbp:is_part_of
|
gptkb:smart_grid_technology
gptkb:ecosystem
gptkb:smart_home_devices
digital transformation
|
|
gptkbp:is_promoted_through
|
gptkb:educational_programs
marketing campaigns
partnerships
|
|
gptkbp:is_regulated_by
|
industry standards
|
|
gptkbp:is_supported_by
|
community engagement
research and development
government initiatives
|
|
gptkbp:is_tested_for
|
real-world scenarios
|
|
gptkbp:is_used_for
|
environmental monitoring
|
|
gptkbp:is_used_in
|
energy management systems
healthcare applications
|
|
gptkbp:is_used_to
|
optimize logistics
|
|
gptkbp:is_utilized_for
|
data collection
predictive analytics
|
|
gptkbp:is_utilized_in
|
transportation systems
|
|
gptkbp:provides
|
real-time analytics
|
|
gptkbp:security
|
encryption techniques
|
|
gptkbp:supports
|
predictive maintenance
|
|
gptkbp:utilizes
|
gptkb:machine_learning
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|