“We’ve just been hearing from users like constantly that this is a problem,” Sameer Samat, Google’s Android ecosystem president, said in a CNN interview. The anti-spam tech works by ...

is using Altera Arria® 10 FPGAs (field programmable gate arrays), to achieve compelling performance-per-Watt in data center acceleration based on CNN (convolutional neural network) algorithms. These ...

combining multiple deep learning models, such as integrating Mask R-CNN with YOLO, could help reduce false detection rates. Furthermore, repeated road inspections can improve the accuracy of ...

AI models show promise in detecting and forecasting plant diseases, supporting food security and crop protection. However, their effectiveness drops in real-world field conditions due to ...

Abstract: Steel surface defect detection ... ECA-SimSPPF-SIoU-Yolov5 algorithm demonstrated superior detection performance. Using the NEU-DET dataset, the mAP reached 78.8%, which was a 7.1% ...

This ensures a compromise between detection performance and computational efficiency. The model exhibits enhanced recognition capabilities and greater robustness in complex defect detection tasks.

Abstract: In response to the suboptimal detection efficiency and reduced accuracy of conventional defect detection algorithms applied to steel surface ... this performance surpasses the baseline ...