Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.
Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing and other additive manufacturing processes. Supported by a three-year, ...
Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Gaming giant EA is teaming up with Stability AI to create generative AI models and tools that can be used for 3D asset ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Imagine being able to create a detailed 3D sculpture of someone using nothing more than a single photo. Sounds like something out of a sci-fi movie, right? But thanks to advancements in generative AI, ...
Professor of Marine Biology, Te Herenga Waka — Victoria University of Wellington James Bell receives funding from Operation Wallacea and Victoria University of Wellington, and has previously received ...
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