BACKGROUND: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and… →
CONCLUSIONS: In individuals with intermediate coronary stenosis, elevated angio-IMR is linked to an adverse prognosis. Using angio-IMR significantly enhanced the capability to reclassify patients and accurately estimate the risk for the POCO. →
On January 27, 2025, the global AI landscape shifted dramatically with the launch of DeepSeek, a Chinese AI startup that has rapidly emerged as a disruptive force in the industry. Unlike its Western counterparts, DeepSeek has achieved exceptional AI performance with significantly lower costs and computational resources, challenging giants like OpenAI, Google, and Meta. But… →
Post-training quantization (PTQ) focuses on reducing the size and improving the speed of large language models (LLMs) to make them more practical for real-world use. Such models require large data volumes, but strongly skewed and highly heterogeneous data distribution during quantization presents considerable difficulties. This would inevitably expand the quantization range, making it, in most… →
Significant progress has been made in short-form instrumental compositions in AI and music generation. However, creating full songs with lyrics, vocals, and instrumental accompaniment is still challenging for existing models. Generating a full-length song from lyrics poses several challenges. The music is long, requiring AI models to maintain consistency and coherence over several minutes. The… →
What is an Agent? An agent is a Large Language Model (LLM)-powered system that can decide its own workflow. Unlike traditional chatbots, which operate on a fixed path (ask → answer), agents are capable of: Choosing between different actions based on context. Using external tools such as web search, databases, or APIs. Looping between steps… →
Vision-Language Models (VLMs) have significantly expanded AI’s ability to process multimodal information, yet they face persistent challenges. Proprietary models such as GPT-4V and Gemini-1.5-Pro achieve remarkable performance but lack transparency, limiting their adaptability. Open-source alternatives often struggle to match these models due to constraints in data diversity, training methodologies, and computational resources. Additionally, limited documentation… →
CONCLUSION: According to best trial practices, we report our statistical analysis plan and data management plan prior to locking the database and initiating the analyses. We anticipate that this practice will prevent analysis bias and improve the utility of the study’s reported results. →
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, and automation, where agents interact with environments to learn optimal behaviors. Traditional RL methods fall into two categories: model-free and model-based approaches. Model-free techniques prioritize simplicity but require extensive training data, while model-based methods introduce… →