AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
North Penn Now

Data Scientist Course Developing Advanced Skills For Intelligent Data Solutions

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...
IEEE

Human Resource Performance Value Assessment Based on Integration of Statistics and Machine Learning

Abstract: This study combines statistical methods with machine learning techniques to conduct a systematic evaluation of enterprise human resource performance. Through descriptive statistical analysis ...
IEEE

Multi-Objective Optimization of Machine Learning-Based Nonlinear Equalizers for Digital Coherent Optical Interconnects

Abstract: The growing demand for high-capacity optical networks has driven the advancement of digital coherent optical communication systems, which rely on sophisticated signal processing to mitigate ...
GitHub

PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning

We strongly recommend creating two separate conda environments, one for each framework, in order to avoid dependency conflicts and to guarantee consistent experimental results. For RL training, the ...