In recent years, AI-driven workflows and automation have advanced remarkably. Yet, building complex, scalable, and efficient agentic workflows remains a significant challenge. The complexities of controlling agents, managing their states, and integrating them seamlessly with broader applications are far from straightforward. Developers need tools that not only manage the logic of agent states but also… →
AI agents have become essential tools for navigating web environments and performing online shopping, project management, and content browsing. Typically, these agents simulate human actions, such as clicks and scrolls, on websites primarily designed for visual, human interaction. Although practical, this method of web navigation poses limitations for machine efficiency, especially when tasks involve interacting… →
Large Language Models (LLMs) have potential applications in education, healthcare, mental health support, and other domains. However, their accuracy and consistency in following user instructions determine how valuable they are. Even small departures from directions might have serious repercussions in high-stakes situations, such as those involving delicate medical or psychiatric guidance. The ability of LLMs… →
Federated Learning is a distributed method of Machine Learning that puts user privacy first by storing data locally and never centralizing it on a server. Numerous applications have successfully used this technique, especially those requiring sensitive data like healthcare and banking. Each training round in classical federated learning involves a complete update of all model… →
This study aimed to evaluate the effectiveness of virtual reality (VR) in the mental state and quality of sleep improvement and physical activity (PA) increase of patients diagnosed with breast cancer (BC). A total of 33 subjects divided into experimental (EG, n = 17) and control (CG, n = 16) groups were assessed with the… →
CONCLUSIONS: Introducing NF-TT early in the medical school curriculum, before students are exposed to a pervasive conditional probability formula-based approach, would offer the greatest benefit. →
CONCLUSIONS: The analgesic efficacy of supraclavicular brachial plexus blockade combined with dexamethasone, magnesium sulfate, and dexmedetomidine is significantly superior to the combination of magnesium sulfate and dexmedetomidine, and significantly superior to the use of magnesium sulfate alone. →
This study aimed to evaluate the effectiveness of different pain mitigation methods during orthodontic debonding and to evaluate pain sensitivity across various regions of the dentition. A total of 144 participants (50 males and 94 females) with metal brackets were randomly assigned to one of four groups: High-Frequency Vibration (V), Cotton Roll (CR), Elastomeric Wafer… →
Retrieval-augmented generation (RAG) systems blend retrieval and generation processes to address the complexities of answering open-ended, multi-dimensional questions. By accessing relevant documents and knowledge, RAG-based models generate answers with additional context, offering richer insights than generative-only models. This approach is useful in fields where responses must reflect a broad knowledge base, such as legal research… →
A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. Human cognition operates by using two systems: System 1, which is fast and intuitive, and System 2, which is slow but more analytical. In AI models, this dichotomy between… →