Deep Mind's AI for Smart Cities
GPTKB entity
Statements (73)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
gptkbp:aims_to |
gptkb:economic_development
traffic congestion innovation quality of life sustainable practices energy efficiency local economies resource management community connectivity community well-being social equity urban resilience waste generation sustainable urban growth |
gptkbp:analyzes |
economic indicators
traffic patterns social dynamics infrastructure needs public feedback public service delivery environmental data mobility patterns |
gptkbp:collaborates_with |
local governments
community organizations research institutions urban planners technology partners |
gptkbp:developed_by |
gptkb:philosopher
|
gptkbp:develops |
AI algorithms
user-friendly interfaces predictive models collaborative platforms simulation models integrated systems |
gptkbp:enhances |
gptkb:public_safety
gptkb:public_transportation_system public engagement data collection methods transportation networks city infrastructure citizen services digital infrastructure |
gptkbp:facilitates |
community engagement
|
gptkbp:focuses_on |
gptkb:metropolitan_area
|
https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind's AI for Smart Cities
|
gptkbp:improves |
public health
air quality urban mobility |
gptkbp:integrates_with |
gptkb:Io_T_devices
|
gptkbp:is_optimized_for |
resource allocation
|
gptkbp:monitors |
energy consumption
|
gptkbp:provides |
predictive analytics
real-time analytics data-driven insights scalable solutions insights for policy making strategic recommendations insights for urban design |
gptkbp:reduces |
carbon emissions
|
gptkbp:supports |
gptkb:metropolitan_area
gptkb:railway_station data-driven decision making climate action initiatives data transparency |
gptkbp:utilizes |
gptkb:software_framework
gptkb:Cloud_Computing_Service big data geospatial data real-time data artificial intelligence techniques |
gptkbp:bfsParent |
gptkb:philosopher
|
gptkbp:bfsLayer |
3
|