Hardware Utilization
Cost Effective
-Consumer grade hardware
Utilize Computing Power
-Capable to run on limited computing power
Competitive Expertise
-Optimize optical, mechanical && EE integration
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AI
Weight Pruning
-Eliminate unnecessary values in the weight tensor
Model Quantization
-Reduced floating point numbers to increase the speed model
Layer combination and transformation
-Conducive model structure
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Software Optimization
Low Latency
-Real-time detect & response
Maximize Performance
-System Level Tuning
Application Service Transparency
-Adaptive Landing
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