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Physna Aims to Be Google of 3D Search with Geometry-Based AI

Physna, a midwestern U.S. startup founded in 2015, is trying to do for physical object (3D model) search what Google did for text and image search. Using geometric deep-learning technology…

Peter Naftaliev Lecture Series on Learning on How to Go from 2D to 3D with Machine Learning

Peter Naftaliev is an artificial intelligence (AI) researcher and consultant who is working in making 2D into 3D. Besides work for his company Abelians, he also publishes breakthrough research at…

Free Automated Software to Design 3D Printable Cranial Implants

Repairing skull defects with custom cranial implants, otherwise known as a cranioplasty, is expensive and takes a great deal of time, as the the existing process often results in bottlenecks…

NTU Singapore: Robotic Post-Processing System Removes Residual Powder from 3D Printed Parts

Researchers from Nanyang Technological University in Singapore wrote a paper, titled “Development of a Robotic System for Automated Decaking of 3D-Printed Parts,” about their work attempting to circumvent a significant…

Spaghetti Detective: Open Source AI Software Detects Prints Gone Wrong

Desktop 3D printer users are quite familiar with the mishaps of some print job going wrong and extruders spilling material all over their machine while they’re out at the store…

3D Systems Receives Additonal FDA Clearance for D2P Solution that Makes 3D Printed Anatomic Models

3D Systems has long been involved with using 3D technology to change and save lives in the medical industry. Last summer, the company introduced a new On Demand Anatomical Models service, which allows…

Alchemite Machine Learning Engine Used to Design New Alloy for Direct Laser Deposition 3D Printing

Artificial intelligence (AI) company Intellegens, which is a spin-off from the University of Cambridge, created a unique toolset that can train deep neural networks from noisy or sparse data. The machine…

Deep Learning Used to Predict Stress in SLA 3D Printed Structures

In a thesis entitled “Deep Learning Based Stress Prediction for Bottom-Up Stereo-lithography (SLA) 3D Printing Process,” a University at Buffalo student named Aditya Pramod Khadlikar describes a method of predicting…