Digital Twin (DT) technology is becoming more and more popular as a method that gives Internet of Things (IoT) devices dynamic topology mapping and real-time status updates. However, there are difficulties in deploying DT in industrial IoT networks, especially when significant and dispersed data support is required. This frequently results in the creation of data… →
The main focus of existing Multimodal Large Language Models (MLLMs) is on individual image interpretation, which restricts their ability to tackle tasks involving many images. These challenges demand models to comprehend and integrate information across several images, including Knowledge-Based Visual Question Answering (VQA), Visual Relation Inference, and Multi-image Reasoning. The majority of current MLLMs struggle… →
BACKGROUND: The incidence of sexually transmitted infections (STIs) is increasing, especially among young people. Tools are needed to increase knowledge about sex education and STI prevention and treatment. Gamification can be a good training tool for both young people and health professionals. The primary objective of this study is to assess the impact of a… →
This paper introduces Show-o, a unified transformer model that integrates multimodal understanding and generation capabilities within a single architecture. As artificial intelligence advances, there’s been significant progress in multimodal understanding (e.g., visual question-answering) and generation (e.g., text-to-image synthesis) separately. However, unifying these capabilities in one model remains a challenge. Show-o addresses this by innovatively combining… →
INTRODUCTION: Multiple myeloma (MM) is the second most common hematologic malignancy. MM is associated with significant morbidity due to its end-organ destruction and is a disease of the older population. Although survival rates for MM have improved over the last decade, due to an increase in treatment options, the disease remains incurable. Expensive (oral) agents… →
Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. Learning data analysis equips you with the tools to uncover trends, solve problems, and add value in any field. This article lists the top data analysis… →
The quantity and quality of data directly impact the efficacy and accuracy of AI models. Getting accurate and pertinent data is one of the biggest challenges in the development of AI. LLMs require current, high-quality internet data to address certain issues. It is challenging to compile data from the internet. Coordinating crawlers, locating interesting pages… →
Trustworthiness reasoning in multiplayer games with incomplete information presents significant challenges. Players need to assess the reliability of others based on partial, often misleading information while making decisions in real time. Traditional approaches, heavily reliant on pre-trained models, struggle to adapt to dynamic environments due to their dependence on domain-specific data and feedback rewards. These… →
With speech-to-speech technology, the focus has shifted toward more prominent facilitation of spoken language toward other spoken outputs, enabling better communication and access within diverse applications. This ranges from voice recognition to language processing and speech synthesis. These elements, combined with the speech-to-speech systems, would work toward making such an experience seamless, one that works… →