High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes to a coherent and logical narrative. To improve the quality of reasoning, various reinforcement learning techniques have been employed. These methods allow… →
How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks In this tutorial, we introduce the Gemini Agent Network Protocol, a powerful framework designed to enable collaboration among specialized AI agents. Leveraging Google’s Gemini models, the protocol facilitates dynamic communication between agents, each equipped with distinct roles: Analyzer, Researcher,… →
«`html Google Introduces Open-Source Full-Stack AI Agent Stack Using Gemini 2.5 and LangGraph for Multi-Step Web Search, Reflection, and Synthesis The Need for Dynamic AI Research Assistants Conversational AI has evolved significantly, yet many large language models (LLMs) still face limitations. They generate responses based solely on static training data and lack the capability to… →
CONCLUSIONS: Although prematurely discontinued, this study does not support the use of 4 months of treatment with anakinra combined with GCs to reduce the risk of relapse or GC exposure. →

CONCLUSION: It is concluded that a strength training session can potentially improve or maintain the acute low back pain and disability scale without causing an increase in low back pain symptoms. Furthermore, it can promote a high level of enjoyment, regardless of whether it is conducted in person or remotely. Health education strategies, such as… →

«`html 50+ Model Context Protocol (MCP) Servers Worth Exploring What is the Model Context Protocol (MCP)? The Model Context Protocol (MCP), introduced by Anthropic in November 2024, establishes a standardized, secure interface for AI models to interact with external tools—such as code repositories, databases, files, and web services—through a JSON-RPC 2.0-based protocol. The MCP protocol… →
CONCLUSION: Both fenofibrate and curcumin are effective at decreasing lipid profiles and improving inflammatory markers in patients with type 2 diabetes. Fenofibrate might have a superior effect in reducing waist circumference, decreasing fetuin-A, and increasing sirtuin 1. →

CONCLUSION: Orforglipron treatment was associated with beneficial changes in CV risk markers in participants with T2D and in participants with overweight/obesity without T2D. (Clinicaltrials.gov: NCT05048719, NCT05051579). →

INTRODUCTION: Spinal cord injury (SCI) has been linked to increased frequencies of sleep-related breathing disorders (SRBDs) (≤50% after paraplegia and ≤90% following tetraplegia). However, SRBDs have been under-recognised and undertreated among individuals with SCI. The OPTIMISE SCI (Outcomes Post Treatment: Impact on Motor Impairment of Sleep Efficiency in SCI) is an ongoing phase 3 clinical… →

CONCLUSION: Glucocorticoid treatment was associated with increased PCSK9 levels after 24 weeks. When compared with the bDMARD treatments, these increases were more pronounced in rheumatoid factor, anticitrullinated protein antibody and antinuclear antibody-positive patients. Our data provide a potential mechanistic link between glucocorticoid treatment and cardiovascular disease. →
