Browsing: ML News
Large Language Models (LLMs) have gained significant attention for their versatility, but their factualness remains a critical concern. Studies have revealed that LLMs can produce nonfactual,…
Traditional molecular representations, primarily focused on covalent bonds, have neglected crucial aspects like delocalization and non-covalent interactions. Existing machine learning models have utilized information-sparse representations, limiting…
Deep learning has revolutionized various domains, with Transformers emerging as a dominant architecture. However, Transformers must improve the processing of lengthy sequences due to their quadratic…
Knowledge Distillation (KD) has become a key technique in the field of Artificial Intelligence, especially in the context of Large Language Models (LLMs), for transferring the…
The development of autonomous agents capable of performing complex tasks across various environments has gained significant traction in artificial intelligence research. These agents are designed to…
Introduction: Code Large Language Models (CodeLLMs) have demonstrated remarkable proficiency in generating code. However, they struggle with complex software engineering tasks, such as developing an entire…
Recent advances in segmentation foundation models like the Segment Anything Model (SAM) have shown impressive performance on natural images and videos. Still, their application to medical…
Artificial Intelligence (AI) has rapidly advanced, revolutionizing various sectors by performing tasks that require human intelligence, such as learning, reasoning, and problem-solving. Improvements in machine learning…
Taipy and Streamlit have garnered significant attention among data scientists & machine learning engineers in Python-based web application frameworks. Both platforms offer unique functionalities tailored to…
The Role of Explainable AI in In Vitro Diagnostics Under European Regulations: AI is increasingly critical in healthcare, especially in vitro diagnostics (IVD). The European IVDR…