Introduction Patients with chronic bronchitis suffer high morbidity and rapid functional decline; thus, novel treatments are ...
Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
In a continued development of patent eligibility policy following Ex parte Desjardins, the Patent Trial and Appeal Board ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from aircraft fuselages to bridge supports—perform reliably under demanding conditions ...
Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...
Abstract: We proposed a novel Kinematic Batch Informed Trees algorithm (K-BIT*) to solve problems of the low efficiency, poor geometric smoothness and local optimum when conducting path planning for ...