Alzheimer’s Disease (AD), a neurodegenerative disorder escalating worldwide, remains incurable with existing interventions merely mitigating symptoms. Hydralazine, an antihypertensive agent, has displayed neuroprotective potential in AD animal models via amplification of mitochondrial functionality and stimulation of stress management and repair pathways. Nevertheless, its effectiveness and tolerability in human AD cohorts are yet to be confirmed.… →
CONCLUSIONS: Both toothpastes showed good antimicrobial effect after 4 weeks; however, the toothpaste containing ZCT, HAP, KCit and fluoride was found to be more effective in reducing the salivary counts of S. mutans than the product containing fluoride alone. →
The field of artificial intelligence (AI) continues to evolve, with competition among large language models (LLMs) remaining intense. Despite recent advances pushing the boundaries of what these models can achieve, challenges persist. One of the main difficulties for existing LLMs, such as GPT-4, is finding the right balance between general-purpose reasoning, coding abilities, and visual… →
Vision models have evolved significantly over the years, with each innovation addressing the limitations of previous approaches. In the field of computer vision, researchers have often faced challenges in balancing complexity, generalizability, and scalability. Many current models struggle to effectively handle diverse visual tasks or adapt efficiently to new datasets. Traditionally, large-scale pre-trained vision encoders… →
In an interconnected world, effective communication across multiple languages and mediums is increasingly important. Multimodal AI faces challenges in combining images and text for seamless retrieval and understanding across different languages. Existing models often perform well in English but struggle with other languages. Additionally, handling high-dimensional data for both text and images simultaneously has been… →
In recent years, the rise of large language models (LLMs) and vision-language models (VLMs) has led to significant advances in artificial intelligence, enabling models to interact more intelligently with their environments. Despite these advances, existing models still struggle with tasks that require a high degree of reasoning, long-term planning, and adaptability in dynamic scenarios. Most… →
Scientific literature synthesis is integral to scientific advancement, allowing researchers to identify trends, refine methods, and make informed decisions. However, with over 45 million scientific papers published annually, staying updated has become a formidable challenge. Limitations hinder synthesizing relevant data from this growing corpus in existing tools, which often need more accuracy, contextual relevance, and… →
As AI agents become increasingly sophisticated and autonomous, the need for robust tools to manage and optimize their behavior becomes paramount. AgentOps, the practice of managing and operating AI agents, is emerging as a critical discipline. These tools are essential for streamlining the development, deployment, and maintenance of AI agents, ensuring their reliability, efficiency, and… →