An open ecosystem for physics-informed machine learning (physics-ML) fosters innovation and AI engineering applications. Physics-ML embeds into the learning process the knowledge of physical laws that govern a given dataset. This enables scientists to use prior knowledge to help train a neural network, making it more generalizable and efficient. Yet, as physics-ML is a growing field of��
]]>
Lattice structures are naturally and artificially made designs that are important in many scientific fields, such as materials science, aerospace engineering, and biomedical engineering. They are made by repeating patterns that connect smaller truss structures and yield a high strength-to-weight ratio. The rise of 3D printing within additive manufacturing has highlighted the significance of��
]]>
To help manufacturers and developers manage the growing data problem in additive manufacturing, while streamlining production workflows, the team at Dyndrite has developed a new GPU-based platform: Accelerated Computation Engine (ACE), the world��s first GPU-accelerated geometry kernel. Dyndrite is funded by Google��s Gradient Ventures, Carl Bass, ex-CEO of Autodesk, and a number other VC��s.
]]>