Nano Dimension Announces Another Deep Learning AI Patent Granted to its DeepCube Technology

-The Patent Relates to Model Training and Optimization on a Decentralized Networks -The Milestone Represents a Critical Innovation to Enable the Company’s Commercialization of Its Industrial AI Solution

Nano Dimension Ltd. (Nasdaq: NNDM) ("Nano Dimension" or the "Company"), a leading supplier of Additively Manufactured Electronics ("AME") and multi-dimensional polymer, metal & ceramic Additive Manufacturing ("AM") 3D printing solutions, today announced that a patent was granted for technology developed by its industrial artificial intelligence ("AI") 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, (the "Neural Network Mimicking Patent") 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.

This patent is another key component in Nano Dimension's efforts to transform DeepCube from a solely in-house AI group to a leading industrial AI solution provider. Nano Dimension has already made progress in this initiative, having announced agreements and memorandums of understanding ("MOUs") with several parties. DeepCube is currently developing an end-to-end AI platform for industrial usage that is not only limited to additive manufacturing. The software platform is intended to run autonomously on customers' premises, and continuously improve itself, such that the more it is used, the higher the accuracy will become.

Importantly, the Neural Network Mimicking Patent is not just about software, but also hardware. The training infrastructure at the core of this innovation exclusively uses Nvidia graphics processing units ("GPUs"), while the deployed inference models are currently optimized for Nvidia GPUs, along with Intel and AMD central processing units ("CPUs").

Nano Dimension's DeepCube alone has 50 patent applications filed, of which 27 have already been granted. These patent applications are filed in 8 different jurisdictions, providing a truly global IP protection.

Yoav Stern, Chief Executive Officer and Member of the Board of Directors of Nano Dimension, stated: "Nano Dimension's leadership in AI continues to make progress. In fact, this has been the case since we acquired DeepCube three years ago, but we are proud that these developments are becoming more public. Most importantly, these milestones are evident of how we are moving closer to having a full fledged commercialized industrial AI solution that will take the deep learning-based AI we have developed for proprietary use to the broader industrialized markets."

About Nano Dimension
Nano Dimension's (Nasdaq: NNDM) vision is to transform existing electronics and mechanical manufacturing into Industry 4.0 environmentally friendly & economically efficient precision additive electronics and manufacturing - by delivering solutions that convert digital designs to electronic or mechanical devices - on demand, anytime, anywhere.

Nano Dimension's strategy is driven by the application of deep learning based AI to drive improvements in manufacturing capabilities by using self-learning & self-improving systems, along with the management of a distributed manufacturing network via the cloud.

Nano Dimension has served over 2,000 customers across vertical target markets such as aerospace and defense, advanced automotive, high-tech industrial, specialty medical technology, R&D and academia. The Company designs and makes Additive Electronics and Additive Manufacturing 3D printing machines and consumable materials. Additive Electronics are manufacturing machines that enable the design and development of High-Performance-Electronic-Devices (Hi-PED®s). Additive Manufacturing includes manufacturing solutions for production of metal, ceramic, and specialty polymers-based applications - from millimeters to several centimeters in size with micron precision.

Through the integration of its portfolio of products, Nano Dimension is offering the advantages of rapid prototyping, high-mix-low-volume production, IP security, minimal environmental footprint, and design-for-manufacturing capabilities, which is all unleashed with the limitless possibilities of additive manufacturing.

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