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Effectiveness of a standardised and interactive intervention to prevent preschooler unintentional injury in rural China: a cluster randomised controlled trial
CONCLUSION: The 9-month interactive intervention decreased unintentional injury incidence and substantially increased preschooler’s safety knowledge in rural China, offering an effective option for implementing or integrating in multifactorial interventions in resource-limited areas. →
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A Code Implementation for Designing Intelligent Multi-Agent Workflows with the BeeAI Framework
Understanding the Target Audience for the BeeAI Framework The target audience for the BeeAI Framework primarily includes business managers, software developers, and data scientists involved in implementing AI solutions within organizations. This audience is typically focused on enhancing operational efficiency and leveraging AI for strategic advantages. Below is an analysis of their pain points, goals,… →
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Scenario Planning Amid Radical Uncertainty
Carolyn Geason-Beissel/MIT SMR | Getty Images “What’s the best-case scenario that you can logically describe?” As an academic and adviser who has spent more than 30 years forecasting future intersections of people and the political economy through the lens of technological change, I’m often asked that question. My answer is always the same: Best-case scenarios… →
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Anthropic Proposes Targeted Transparency Framework for Frontier AI Systems
Anthropic Proposes Targeted Transparency Framework for Frontier AI Systems As the development of large-scale AI systems accelerates, concerns about safety, oversight, and risk management are becoming increasingly critical. In response, Anthropic has introduced a targeted transparency framework aimed specifically at frontier AI models—those with the highest potential impact and risk—while deliberately excluding smaller developers and… →
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Google AI Just Open-Sourced a MCP Toolbox to Let AI Agents Query Databases Safely and Efficiently
Google AI Just Open-Sourced a MCP Toolbox to Let AI Agents Query Databases Safely and Efficiently Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. This release is part of Google’s broader strategy to advance the Model… →
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Implementing a Tool-Enabled Multi-Agent Workflow with Python, OpenAI API, and PrimisAI Nexus
«`html Implementing a Tool-Enabled Multi-Agent Workflow with Python, OpenAI API, and PrimisAI Nexus In this advanced tutorial, we will build a multi-agent task automation system using the PrimisAI Nexus framework, fully integrated with the OpenAI API. Our primary objective is to demonstrate how hierarchical supervision, intelligent tool utilization, and structured outputs can facilitate the coordination… →
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How Radial Attention Cuts Costs in Video Diffusion by 4.4× Without Sacrificing Quality
«`html How Radial Attention Cuts Costs in Video Diffusion by 4.4× Without Sacrificing Quality Introduction to Video Diffusion Models and Computational Challenges Diffusion models have made significant advances in generating high-quality, coherent videos, building on their success in image synthesis. However, the extra temporal dimension in videos increases computational demands, particularly as self-attention scales poorly… →
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Protective effect of celecoxib against capecitabine induced hand and foot syndrome in patients with colorectal Cancer
CONCLUSION: Celecoxib may represent a potential protective agent against capecitabine induced hand and foot syndrome in patients with colorectal cancer. →
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Short- and Longer-Term Effects of Three Intensive Straw Phonation Interventions on the Voice of Female Speech-Language Pathology Students With Mild Dysphonia: A Randomized Controlled Trial
CONCLUSIONS: Positive effects were found for the three SP interventions. The most promising results were found for SP in 2 cm water, suggesting an optimal impedance match between the glottis and the vocal tract in this specific population of female SLP students with mild dysphonia. →
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Better Code Merging with Less Compute: Meet Osmosis-Apply-1.7B from Osmosis AI
Better Code Merging with Less Compute: Meet Osmosis-Apply-1.7B from Osmosis AI Osmosis AI has open-sourced Osmosis-Apply-1.7B, a fine-tuned variant of Qwen3-1.7B, designed to perform highly accurate and structured code merging tasks. This model is optimized for context-sensitive, function-level code edits. It achieves strong performance with fewer parameters compared to larger foundation models by leveraging code-specific… →