Every online bank transfer, private message and Bitcoin transaction rests on the assumption that some math problems are ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Abstract: This paper provides a comparative analysis of machine translation and its evolution, with a specific focus on the challenges and advancements in translating three low-resource languages. It ...