A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are monitored and managed.

A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of rubber tree identification and measurement in dense plantation environments.

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.