In the ever-evolving landscape of artificial intelligence (AI), the challenge of creating systems that can effectively collaborate in dynamic environments is a significant one. Multi-agent reinforcement learning (MARL) has been a key focus, aiming to teach agents to interact and adapt in such settings. However, these methods often grapple with complexity and adaptability issues, particularly… →
In the domain of sequential decision-making, especially in robotics, agents often deal with continuous action spaces and high-dimensional observations. These difficulties result from making decisions across a broad range of potential actions like complex, continuous action spaces and evaluating enormous volumes of data. Advanced procedures are needed to process and act upon the information in… →
Large Language Models (LLMs) face deployment challenges due to latency issues caused by memory bandwidth constraints. Researchers use weight-only quantization to address this, compressing LLM parameters to lower precision. This approach improves latency and reduces GPU memory requirements. Implementing this effectively requires custom mixed-type matrix-multiply kernels that move, dequantize, and process weights efficiently. Existing kernels… →
CONCLUSIONS AND RELEVANCE: In this diagnostic study with pathological findings as the reference standard, no difference was found between FES PET/CT and current SOC imaging for detecting distant metastases in patients with ER-positive LABC or recurrences in patients with ER-positive tumors and suspected recurrence. FES PET/CT could be considered for both clinical indications, which are… →
CONCLUSIONS: Although our results are in line with previous research and support the use of clinical factors for prediction, our findings suggest that psychological factors, especially patient expectations and fear avoidance beliefs, also contribute to long-term outcomes and should therefore be considered in the clinical context and further research. However, the hypotheses and recommendations generated… →
Low back pain is a widespread public health concern owing to its high prevalence rates according to the Global Burden of Diseases. This study aimed to investigate the effect of exercise alone or in combination with manual therapy and kinesiotherapy on pain sensitivity, disability, kinesiophobia, self-efficacy, and catastrophizing in patients with chronic low back pain… →
Acute kidney injury (AKI) prevalence in surgical patients is high, emphasizing the need for preventative measures. This study addresses the insufficient evidence on nephroprotective intraoperative fluid resuscitation and highlights the drawbacks of relying solely on serum creatinine/urine output to monitor kidney function. This study assessed the impact of intraoperative fluid management on AKI in female… →
Non-alcoholic Fatty Liver Disease (NAFLD) and Non-alcoholic Steatohepatitis (NASH) are major metabolic diseases with increasing global prevalence and no approved therapies. There is a mounting need to develop biomarkers of diagnosis, prognosis and treatment response that can effectively replace current requirements for liver biopsies, which are invasive, error-prone and expensive. We performed SomaLogic serum proteome… →
Large Language Models (LLMs) have revolutionized the field of natural language processing, allowing machines to understand and generate human language. These models, such as GPT-4 and Gemini-1.5, are crucial for extensive text processing applications, including summarization and question answering. However, managing long contexts remains challenging due to computational limitations and increased costs. Researchers are, therefore,… →
CONCLUSIONS AND RELEVANCE: This randomized clinical trial found that pharmacist OAC prescription is a potentially high-yield opportunity to effectively close gaps in the delivery of stroke risk reduction therapy for AF. Scalability and sustainability of pharmacist OAC prescription will require larger trials demonstrating effectiveness and safety. →