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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for Efficient and Scalable Problem-Solving
This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for Efficient and Scalable Problem-Solving Reasoning tasks are a fundamental aspect of artificial intelligence, encompassing areas like commonsense understanding, mathematical problem-solving, and symbolic reasoning. These tasks often involve multiple steps of logical inference, which large language models (LLMs) attempt to mimic through structured approaches such… →
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A Coding Guide to Building a Scalable Multi-Agent Communication Systems Using Agent Communication Protocol (ACP)
«`html A Coding Guide to Building a Scalable Multi-Agent Communication System Using Agent Communication Protocol (ACP) This tutorial implements the Agent Communication Protocol (ACP) by building a flexible, ACP-compliant messaging system in Python, utilizing Google’s Gemini API for natural language processing. The guide covers the installation and configuration of the google-generativeai library and introduces core… →
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The CRO & CMO Playbook for Creating GTM Alignment
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. When… →
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Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic Integration
Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights Key Limitations in Visual and Symbolic Integration Recent advancements in multimodal foundation models have shown significant progress in disciplines such as mathematics and knowledge-based reasoning. While these models achieve human-competitive accuracy on benchmarks like AIME, GPQA, MATH-500, and OlympiadBench, they fall short in a… →
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Association of predicted lean body mass and fat mass with prognosis in patients with heart failure preserved ejection fraction
CONCLUSION: In patients with HFpEF, a higher FMI was strongly associated with increased risks of both the primary endpoint and all-cause mortality, while an elevated LBMI was associated with a reduced risk of mortality. →
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Educational video combined with augmented clinical support to improve CPAP use in patients with obstructive sleep apnea-hypopnea syndrome: A randomized controlled trial protocol
CONCLUSION: We designed this original protocol by combining TPE with ACS. We hope that our findings will help us improve CPAP adherence among Tunisian patients with OSAHS. →
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Initiating Injectable Buprenorphine in People Hospitalized With Infections: A Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial comparing initiation of LAB for OUD with ID management in the hospital setting compared with TAU, there was no difference between arms in the receipt of MOUD at 12 weeks. The TAU arm had higher retention than anticipated. These findings suggest that hospitalization with an infection related… →
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A phase I/IIa trial of atorvastatin in Japanese patients with acute Kawasaki disease and coronary artery aneurysms
CONCLUSIONS: We found that atorvastatin was safe and a dose up to 0.5 mg/kg/day for 6 weeks was well-tolerated in Japanese children with acute KD and CAAs. →
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Yandex Releases Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems
«`html Yandex Releases Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems Yandex has made a significant contribution to the recommender systems community by releasing Yambda, the world’s largest publicly available dataset for recommender system research and development. This dataset bridges the gap between academic research and industry-scale applications, offering nearly 5 billion anonymized user… →
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Stanford Researchers Introduced Biomni: A Biomedical AI Agent for Automation Across Diverse Tasks and Data Types
Stanford Researchers Introduced Biomni: A Biomedical AI Agent for Automation Across Diverse Tasks and Data Types Biomedical research is a rapidly evolving field aiming to advance human health through understanding disease mechanisms, identifying new therapeutic targets, and developing effective treatments. This area encompasses various disciplines, such as genetics, molecular biology, pharmacology, and clinical studies, which… →