Preliminary Study

Preliminary studies across diverse scientific fields are exploring the capabilities and limitations of novel models and algorithms. Current research focuses on applying large language models (LLMs), Kolmogorov-Arnold Networks (KANs), and other deep learning architectures to tasks ranging from medical diagnosis and robotic control to soil analysis and cybersecurity. These investigations aim to improve existing methods, address data scarcity issues, and ultimately enhance the accuracy, efficiency, and reliability of various technologies and scientific processes.