Insights on AI, LISA and Data CAMP

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Federated Learning: Concepts and Applications 

AI machine learning relies on vast amounts of data. To achieve this, you start by gathering substantial data in a central server, and then you train the data using high-performance computing resources. The more data at your disposal, the more effectively it learns,...

Embracing the Future: Why Data CAMP Outshines Traditional SCADA

4 Limitations of Traditional SCADA Software:   What is SCADA Software? Supervisory Control and Data Acquisition (SCADA) systems utilized in smart factories are critical for manufacturers. They enable production line performance monitoring, prompt response to...

How Homomorphic Encryption Safeguards Data in the Cloud Environment

With the increasing demand for AI technology based on cloud and big data, there is a growing need for more advanced security measures. When many companies utilize AI to provide personalized services to customers, there is a significant risk of exposing sensitive...

Navigating the Future: Unleashing the Potential of Digital Twin Technology in Manufacturing

The concept of Digital Twin has recently emerged as a core technological trend in the manufacturing industry. As the product life cycle becomes shorter and predicting product demand becomes more challenging, coupled with the increasing demand for customized products,...

Mastering Real-Time Anomaly Detection with LISA: Your Gateway to Industrial Excellence

As the global manufacturing industry accelerates its transition towards smart factories, there is a growing interest in automated inspection, real-time anomaly detection, and predictive maintenance through machine vision. This interest is particularly pronounced in...