Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...
A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...
Hubert Drabik is a Commercial Partner at Odra Venture, a European venture platform backing AI and energy startups from Poland. I have spent over 30 years building and scaling businesses across ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
At AACR 2026, the Genialis™ Supermodel–powered RNA survival model outperforms standard of care in real-world clinical data, establishing a scalable biomarker framework for ADC drug developmentBOSTON-- ...