DeepCube Acquired by Nano Dimension to Drive Industry 4.0 Evolution
DeepCube, the award-winning deep learning pioneer, has signed a definitive agreement to be acquired by Nano Dimension Ltd. (Nasdaq: NNDM). After the closing of the transaction, DeepCube will function as a division of Nano Dimension Ltd., creating first-of-its-kind, AI powered-Additively Manufactured Electronics (AME)/PE (3D-Printed Electronics) platforms and services.
DeepCube’s training platform and real-time inference engine will be integrated into Nano Dimension AME 3D-printers, acting as smart nodes in a Smart Fabrication Network (SFN), as well as being the AI control center for these networks. With DeepCube’s expertise in machine learning/deep learning, the vision of Industry 4.0 – where machines cooperate, learn, optimize and deliver printed electronics – is now achievable.
DeepCube’s breakthrough algorithms accelerate multi-domain neural models by orders of magnitude, making it an exceptional fit for complex and real-time edge problems, particularly 3D manufacturing. The novel DeepCube approach fuses together both a cutting-edge training framework and a highly optimized inference engine to accomplish aggressive performance goals. Smart 3D manufacturing nodes are equipped with many real-time, cross-disciplinary sensors, which generate Giga Bytes of time-sensitive data. DeepCube’s platform transforms this massive amount of data to insights and actions, in real-time, creating the self-learning and optimizing machine infrastructure. AI-driven distributed digital fabrication, pioneered by Nano Dimension and DeepCube, will improve yield, throughput, quality, design options and optimization.
“We have reviewed multiple solutions for the complex problem of electronics manufacturing, and specifically 3D printed electronics, and DeepCube’s training and inference frameworks stood out, along with the team’s expansive knowledge of deep learning and neural networks,” said Yoav Stern, CEO of Nano Dimension. “Nano Dimension’s vision is to establish ‘INDUSTRY 4.0’ solutions, which entail building an AI/ML ‘distributed digital fabrication application’ rather than just building machines as capital equipment. The core of this solution will be DeepCube’s ‘brain’ that is expected to manage a neural network of edge devices. This will usher in a new design and production flow, offering customers cutting edge capabilities to innovate and create a new line of electronics products that are not achievable today: miniaturization, nano geometries, 3D structures, mass customization, on-demand manufacturing and digital inventory.”