Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:aimsTo |
user experience
device performance AI capabilities |
| gptkbp:architect |
multi-core architecture
|
| gptkbp:collaboratesWith |
device manufacturers
research institutions software developers |
| gptkbp:compatibleWith |
Android
Linux |
| gptkbp:developedBy |
gptkb:MediaTek
|
| gptkbp:enables |
augmented reality
virtual reality smart camera features |
| gptkbp:enhances |
security features
privacy features |
| gptkbp:features |
energy efficiency
hardware acceleration real-time processing |
| gptkbp:hasImpactOn |
automotive industry
consumer electronics AI industry |
| https://www.w3.org/2000/01/rdf-schema#label |
MediaTek NeuroPilot AI
|
| gptkbp:introduced |
2017
|
| gptkbp:is_integrated_with |
SoCs
|
| gptkbp:isAvailableIn |
various chipsets
|
| gptkbp:isDesignedFor |
cloud computing
edge computing |
| gptkbp:isOptimizedFor |
high performance
low power consumption |
| gptkbp:isPartOf |
MediaTek's_AI_strategy
|
| gptkbp:offers |
customizable solutions
scalable solutions |
| gptkbp:provides |
image recognition
natural language processing gesture recognition voice recognition object detection facial recognition |
| gptkbp:supports |
TensorFlow
deep learning Caffe machine learning frameworks Caffe2 |
| gptkbp:targets |
IoT devices
wearable technology smart appliances |
| gptkbp:usedIn |
automotive applications
smartphones smart_home_devices |
| gptkbp:utilizes |
computer vision
data analytics neural networks |