Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:contrastsWith |
cloud-based AI
|
| gptkbp:enables |
energy efficiency
scalability real-time data processing privacy preservation low-latency inference offline AI operation |
| gptkbp:example |
gptkb:NVIDIA_Jetson
gptkb:AWS_Panorama gptkb:Qualcomm_AI_Engine gptkb:Google_Coral gptkb:Edge_TPU gptkb:Apple_Neural_Engine Hailo AI chip Intel Movidius Microsoft Azure Percept |
| gptkbp:field |
gptkb:artificial_intelligence
edge computing |
| https://www.w3.org/2000/01/rdf-schema#label |
Edge AI
|
| gptkbp:improves |
data security
response time bandwidth usage |
| gptkbp:reduces |
data transmission to cloud
|
| gptkbp:relatedTo |
gptkb:machine_learning
deep learning on-device AI cloud AI |
| gptkbp:requires |
specialized hardware
efficient algorithms optimized AI models |
| gptkbp:supports |
natural language processing
speech recognition face recognition anomaly detection predictive maintenance object detection |
| gptkbp:trend |
growing adoption in industry
increasing hardware support model compression techniques |
| gptkbp:usedIn |
IoT devices
autonomous vehicles industrial automation wearables drones smartphones retail analytics smart cameras healthcare devices |
| gptkbp:bfsParent |
gptkb:NXP_i.MX8M_Plus
gptkb:Kendryte_K510 gptkb:Megvii_Holdings_Limited gptkb:Nicla_Vision gptkb:Emerging_Computer_Technology gptkb:TinyML |
| gptkbp:bfsLayer |
7
|