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Nano Dimension宣布其DeepCube技术获得另一项深度学习人工智能专利

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

GlobeNewswire 等信源发布 2024-03-19 20:28

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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 Waltham, Mass., March 19, 2024 (GLOBE NEWSWIRE) --  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.

该专利涉及分散网络上的模型训练和优化。该里程碑代表了一项关键创新,使该公司能够将其工业AI解决方案商业化,沃尔瑟姆,马萨诸塞州,2024年3月19日(环球新闻网)——Nano Dimension Ltd.(纳斯达克:NNDM)(“Nano Dimension”或“公司”),附加制造电子(“AME”)和多维聚合物、金属和陶瓷附加制造(“AM”)3D打印解决方案的领先供应商今天宣布,其工业人工智能(“AI”)集团DeepCube开发的技术获得专利,这使得能够更好地训练和优化基于分散深度学习的AI模型。

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.

美国专利正式命名为“用于模拟神经网络而不访问原始训练数据集或目标模型的系统和方法”(“神经网络模拟专利”)解决了在现实世界中部署AI模型的核心挑战之一,特别是当数据属于客户时,在新数据上不断训练模型。

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.

在整个行业中,由于敏感性和保密性问题限制了数据的可共享性,因此处理新客户数据通常是一个限制。新专利通过最终在客户的场所培训和改进AI模型来应对这一挑战,而Nano Dimension无法直接访问新数据或模型。

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.

该专利是Nano Dimension努力将DeepCube从一个单独的内部人工智能集团转变为领先的工业人工智能解决方案提供商的另一个关键组成部分。Nano-Dimension已经在这一举措中取得了进展,宣布了与多个缔约方的协议和谅解备忘录(“MOU”)。

DeepCube is currently developing an end-to-end AI pl.

DeepCube目前正在开发端到端AI pl。