Six Considerations Before Deploying Edge AI

Six Considerations Before Deploying Edge AI

Edge AI combines the advantages of edge computing and artificial intelligence, leveraging extensive edge resources to support AI applications, enabling rapid analysis of large volumes of real-time edge data and deriving insights from it. Numerous facts have demonstrated the superiority and necessity of edge AI. However, for organizations to truly realize the value of edge … Read more

Embedded AI Briefing (2020-02-16)

Embedded AI Briefing (2020-02-16)

Focus on model compression, low-bit quantization, mobile inference acceleration optimization, and deployment Introduction: This content includes 20 items. ARM has released the Cortex-M55 and Ethos-U55 series, suitable for voice AI model inference. ARM also published a white paper on deploying machine learning with the Cortex-M series and deploying convolutional network models with Cortex-M combined with … Read more

Analysis of Edge AI Box Technology: ASIC/FPGA/GPU Chips and Edge-Cloud Collaboration with Adaptive Inference

Analysis of Edge AI Box Technology: ASIC/FPGA/GPU Chips and Edge-Cloud Collaboration with Adaptive Inference

Comprehensive report from Electronic Enthusiasts Network, the Edge AI box is a hardware device that integrates high-performance chips, AI algorithms, and data processing capabilities, deployed at the edge of data sources such as factories, shopping malls, and traffic intersections. It can perform local data collection, preprocessing, analysis, and decision-making without the need to upload all … Read more