Effective error recovery mechanisms are essential for robotic construction, allowing for real-time problem-solving in dynamic ...
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...
Novel manufacturing approach designs internal channels within a 3D printed ceramic architecture for continuous fibers.
A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs less, resists rust, and ...
Software quantifies polymer content in seconds using DSC and machine learning. The company is also seeking partners to help ...
The number and variety of test interfaces, coupled with increased packaging complexity, are adding a slew of new challenges.
Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...
Experiments conducted in Brazil using laboratory rats have shown that graphene-based structures can act as a powerful ally in ...
Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
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