First Step

"First step" research encompasses initial investigations into diverse fields, focusing on establishing foundational methodologies and models. Current efforts span developing machine learning techniques for streamlining data analysis (e.g., using multimodal learning analytics and evolutionary algorithms), exploring transfer learning in spatial statistics and neuroevolution, and addressing challenges in representing temporal data for large language models. These initial explorations lay the groundwork for advancements in areas ranging from sustainable AI and efficient sampling methods to improved medical image annotation and privacy-preserving technologies.