LeapMind Co., Ltd., today announced a new Deep Learning model “Efficiera Anomaly Detection model” based on its ultra-low power consumption AI inference accelerator IP "Efficiera®" and will be ...

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well ...

These strategies are designed to help the model learn resilient feature representations, which are vital for accurate anomaly detection in noisy real-world scenarios.

Explainable AI (XAI) can improve safety, security, and the overall user experience in IoT applications.

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...

Pharmaceutical manufacturing demands consistency, high precision, and continuous improvement to ensure the safety and quality of medicines. The new platform automates the development of digital twins, ...