Artificial Intelligence Accelerators
GPTKB entity
Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:technology
|
| gptkbp:are |
Cost-effective
Energy Efficient Scalable Highly Specialized Used in Manufacturing Used in Education Used in Robotics Used in Augmented Reality Used in Content Creation Used in Edge Computing Used in Gaming Used in Telecommunications Used in Virtual Reality Used in Transportation Used in Agriculture Used in Wearable Technology Used in Social Media Analysis Used in Financial Services Used in Data Centers Used in Cybersecurity Used in Environmental Monitoring Used in Smart Cities Used in Cloud Services Used in Customer Service Used in Energy Management Used in Entertainment Used in Fraud Detection Used in Human Resources Used in Insurance Used in Legal Services Used in Marketing Automation Used in Personal Assistants Used in Predictive Maintenance Used in Smart Home Devices Used in Supply Chain Management |
| gptkbp:designed_by |
Various Companies
|
| gptkbp:developed_by |
gptkb:Google
gptkb:Intel gptkb:NVIDIA |
| gptkbp:enables |
Real-time Analytics
|
| gptkbp:enhances |
Data Processing
|
| gptkbp:facilitates |
Big Data Applications
|
| https://www.w3.org/2000/01/rdf-schema#label |
Artificial Intelligence Accelerators
|
| gptkbp:impact |
gptkb:AI_Research
gptkb:Autonomous_Vehicles gptkb:health_services gptkb:Computer_Vision gptkb:Natural_Language_Processing |
| gptkbp:improves |
Computational Efficiency
|
| gptkbp:include |
gptkb:TPUs
FPGAs GPUs |
| gptkbp:reduces |
Training Time
|
| gptkbp:support |
gptkb:Deep_Learning
|
| gptkbp:used_for |
gptkb:machine_learning
|
| gptkbp:bfsParent |
gptkb:Intel_Data_Center
|
| gptkbp:bfsLayer |
5
|