News
ORNL and ARC Launch AI Foundry to Enhance the US Defense Supply Chain
3+ hour, 14+ min ago (397+ words) Home - ORNL and ARC Launch AI Foundry to Enhance the US Defense Supply Chain Oak Ridge National Laboratory and New York-based startup Autonomous Resource Corporation have formalized a Memorandum of Understanding to establish what they are calling the Exascale Foundry,…...
HOOPS AI reaches general availability with new features to tackle the CAD-ML gap
1+ week, 3+ day ago (540+ words) Home - HOOPS AI reaches general availability with new features to tackle the CAD-ML gap Introduced as a technology preview in late 2025, Tech Soft 3 D has officially launched HOOPS AI framework purpose-built to integrate CAD data into machine learning (ML) pipelines." The…...
Can Computer Simulations Make Metal AM Certification in Aviation Faster and More Affordable?
1+ mon, 1+ week ago (782+ words) NASA and the Federal Aviation Administration (FAA) have published a strategy document proposing computer simulations as a tool to cut the time and cost of certifying metal 3 D printed aviation components. The push matters because, despite years of investment and…...
Researchers propose CAD-based method to identify new 3 D printed parts without retraining
1+ mon, 1+ week ago (550+ words) Anyer Tenorio Lara is an emerging tech journalist passionate about uncovering the latest advances in technology and innovation. With a sharp eye for detail and a talent for storytelling, Anyer has quickly made a name for himself in the tech…...
MIT Unveils Mech Style, a Generative AI System for Structurally Sound 3 D Design
6+ mon, 2+ week ago (414+ words) Earlier approaches to 3 D stylization often compromised usability. CSAIL researchers found that only around 26 percent of stylized 3 D models remained structurally sound after modification, largely because AI systems lacked awareness of mechanical constraints. "We want to use AI to create…...
UCL Team Develops AI Tool to Monitor Metal Additive Manufacturing
3+ mon, 2+ week ago (358+ words) Researchers at University College London are using artificial intelligence to speed up the analysis of metal 3 D printing, a critical step in improving part quality and reliability. A new neural network, AM-Seg Net, can quickly process X-ray images captured during…...
University of Toronto researchers introduce machine learning framework to optimize metal 3 D printing
11+ mon, 1+ day ago (247+ words) The inverse optimization capability allows manufacturers to input design goals and receive an optimized parameter set within 1-3 hours. This is a major improvement over traditional trial-and-error approaches, which are often time-consuming and costly. The use of machine learning in metal…...
New AI-powered model from ASU predicts microstructures in metal AM
10+ mon, 1+ week ago (509+ words) Secure your spot now for exclusive AM insights at our'Additive Manufacturing Advantage online conference'covering aerospace, space, and defense! Faculty members from Arizona State University's (ASU) School of Computing and Augmented Intelligence are working to solve a long-standing challenge in metal…...