The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

CEO Bob Leasure highlighted significant progress in several areas during Q2 2025. Total revenue increased to $124.3 million, representing a year-over-year growth of $5.3 million. He noted substantial ...

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ...

To enhance the efficiency of the analytical method development process, Almac Sciences worked in collaboration with S-Matrix to test the Fusion QbD® software platform. Optimisation of a peptide and ...

Unlock the full potential of HILIC with our expert-led webcast, "Top Ten Tips for HILIC Method Development and Optimization"! Whether you're refining your techniques or starting from scratch, this ...