Nano Dimension announces another deep learning AI patent granted

Nano Dimension announced that a patent was granted for technology developed by its industrial artificial intelligence group, DeepCube, that enables better training and optimization of decentralized deep learning-based AI models. The U.S. patent, formally titled System and method for mimicking a neural network without access to the original training dataset or the target model, addresses one of the core challenges of deploying AI models in the real-world, specifically continuously training models on new data when that data belongs to a customer. In the industry at-large, dealing with new customer data has often been a limitation due to sensitivity and confidentiality concerns that limit data shareability. The new patent addresses this challenge by ultimately training and improving the AI models on customers’ premises, without Nano Dimension having direct access to the new data or model.