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, ...
An interview with Embark's executive producer Aleksander Grøndal about the use of generative AI tools and machine learning in ...
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback