In software engineering, detecting vulnerabilities in code is a crucial task that ensures the security & reliability of software systems. If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles. Over the years, the development of automated tools to detect these vulnerabilities has become increasingly… →
BACKGROUND: Early childhood caries (ECC) is one of the most common childhood diseases affecting the primary teeth of children younger than 6 years of age. ECC progression can be reversed in the early stages although these lesions often go undetected. New approaches are needed to detect oral diseases at an early stage when they can… →
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 Studies have revealed that LLMs can produce nonfactual, hallucinated, or outdated information, undermining reliability. Current evaluation methods, such as fact-checking and fact-QA, face several challenges. Fact-checking struggles to assess the factualness of generated content, while fact-QA encounters… →
Multimodal Language Models MLLMs architectures have evolved to enhance text-image interactions through various techniques. Models like Flamingo, IDEFICS, BLIP-2, and Qwen-VL use learnable queries, while LLaVA and MGM employ projection-based interfaces. LLaMA-Adapter and LaVIN focus on parameter-efficient tuning. Dataset quality significantly impacts MLLM effectiveness, with recent studies refining visual instruction tuning datasets to improve performance… →
Visual Simultaneous Localization and Mapping (SLAM) is a critical technology in robotics and computer vision that allows real-time state estimation for various applications. SLAM has become important for monocular depth estimation, view synthesis, and 3D human pose reconstruction tasks. However, these tasks face a critical challenge in applications in achieving high tracking accuracy with monocular… →
Artificial intelligence, particularly natural language processing (NLP), has become a cornerstone in advancing technology, with large language models (LLMs) leading the charge. These models, such as those used for text summarization, automated customer support, and content creation, are designed to interpret and generate human-like text. However, the true potential of these LLMs is realized through… →
The protein structure and sequence analysis field is critical in understanding how proteins function at a molecular level. Proteins are essential molecules composed of sequences of amino acids that fold into specific 3D shapes and structures, determining their functions in biological systems. Understanding the precise relationship between these sequences and their resulting structures is vital… →
Audio, as a medium, holds immense potential for conveying complex information, making it essential for developing systems that can accurately interpret & respond to audio inputs. The field aims to create models that can comprehend a wide range of sounds, from spoken language to environmental noise, and use this understanding to facilitate more natural interactions… →
CONCLUSION: Comprehensive vestibular rehabilitation based on VR technology can cure the residual symptoms after the canalith repositioning procedure, reduce the abnormality rates of oVEMP and cVEMP, and reconstruct the balance ability. →
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 their ability to capture molecular complexity. While computational chemistry has developed robust quantum-mechanical methods, their application in machine learning has been constrained by calculation challenges for complex systems. Graph-based… →