Al Model Training Never So Easy
To Any User, no need Professionals Involved
What is Edge AI?
Traditional edge artificial intelligence combines AI with edge computing to collect data at or near the physical location, enabling nearly instantaneous responses. This approach eliminates the need to run AI in the cloud and instead deploys cost-effective AI edge servers, such as the EDGE AI BOX, near edge devices. Compared to cloud-based AI computing, it offers a significant cost advantage, making it a highly practical AI solution.
Since edge servers like the EDGE AI BOX are designed specifically for AI model inference, their computational power is often limited. They can only run pre-trained, fixed versions of AI models and are incapable of performing tasks that require extremely high computational power, such as AI training. As a result, traditional edge AI is characterized by outdated model versions, difficulties in upgrading, and high costs of manual maintenance over time.
The ESONG, the world's first self-upgrading edge AI solution, addresses the pain points of traditional edge AI solutions while retaining their advantages. It allows AI models to be optimized and self-upgraded using application data generated by AI devices during practical use. This process requires no complex operations, enabling the AI model to become "smarter" over time while maintaining the low cost and fast response characteristics of edge AI.
Self-Upgrading Edge AI Solution：
Explanatory Video
Advantage:
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AI Model Becomes Increasingly "Intelligent"The program can automatically upload data periodically, adjusting the AI model's errors using real-world inputs, allowing for self-upgrading of the AI
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Upgrade Process Requires No Manual InterventionWith features like "automatic labeling" and "AI self-training," the entire process of upgrading AI models can be automated without any manual intervention in the hardware devices. This enables true AI self-upgrading
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Cost-effective AI upgradeAI training typically requires significant hardware investment. ESONG offers cloud-based AI training platform rental services, greatly reducing the cost for enterprises to train AI models. Additionally, ESONG regularly updates its AI algorithm models, allowing existing customers to benefit from the latest versions of AI algorithms
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Multiple Solution OptionsCustomers can choose to deploy the AI training platform on local workstations or their own servers, ensuring data privacy. Additionally, the AI Edge Box software can be deployed on company servers or integrated into MES systems
Technical Highlights
The core of the ESONG Self-Upgrading Edge AI Solution is ESONG's AI self-training tool. It periodically uploads real-world application data, automatically collected by the Edge AI Box, to the ESLP (E-Song Self-Learning Platform) for AI optimization training.
ESLP is designed for AI model training and is equipped with dedicated computational chips and optimization programs specifically for AI training. Leveraging ESONG's advanced technology, it performs automatic labeling and recognition of materials, significantly simplifying the training process and enabling self-training upgrades of AI models.
ESLP can be fully deployed on a customer's cloud server or local server, ensuring complete confidentiality of training materials during the AI training process. Alternatively, customers can opt to purchase a cloud platform package provided by ESONG, allowing them to lease ESLP services at a very low cost.
Enterprise administrators can manually train the application data uploaded by the AI Edge Box via a web platform or allow the system to automatically upload and train at regular intervals. The entire process of uploading, training, downloading, and updating the model can be configured to complete automatically, with administrators only needing to review the content as necessary.
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