voxels tagged posts

Machine Learning Model may Perfect 3D Nanoprinting

deep learning
Lawrence Livermore National Laboratory scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography (TPL): monitoring of part quality during printing and determining the right light dosage for a given material. The team developed a machine learning algorithm trained on thousands of video images of TPL builds to identify the optimal parameters for settings such as exposure and laser intensity and to automatically detect part quality at high accuracy.

Two-photon lithography (TPL)—a widely used 3-D nanoprinting technique that uses laser light to create 3-D objects—has shown promise in research applications but has yet to achieve widespread industry acceptance due to limitations on large-scale part production and time-in...

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Self-Levitating Displays: Mid-air Virtual Objects ~ Bitdrones

User opening a file in a PixelDrone cone tree. Credit: Image courtesy of Queen's University

User opening a file in a PixelDrone cone tree. Credit: Image courtesy of Queen’s University

An interactive swarm of flying 3D pixels (voxels) is set to revolutionize the way people interact with virtual reality. The system, called BitDrones, allows users to explore virtual 3D information by interacting with physical self-levitating building blocks – materials capable of changing their 3D shape in a programmable fashion – using swarms of nano quadcopters. Apps include real-reality 3D modeling, gaming, molecular modeling, medical imaging, robotics and online information visualization.

“BitDrones brings flying programmable matter, such as featured in the futuristic Disney movie Big Hero 6, closer to reality,” says Dr. Vertegaal...

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