My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

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 ...

Egypt-based CNC machine manufacturer Simplex has raised $13 million, led by Saudi Arabia's National Industrial Development Centre. Founded in 2013 by Ahmed Shaaban, Mohamed Mansour and Amr Mahmoud, ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

This work presents a generalized approach for analytical method optimization that branches the gap between techniques historically employed and accurate modern optimization techniques suitable for ...

Group Relative Policy Optimization (GRPO) is a novel reinforcement learning method introduced in the DeepSeekMath paper earlier this year. GRPO builds upon the Proximal Policy Optimization (PPO) ...