AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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AMID is introduced, an autonomous multi-agent framework for medical imaging model development that outperformed evaluated general-purpose MLE systems and approached or matched strong human-designed challenge solutions across heterogeneous tasks.
A taxonomy of reasoning enhancement techniques is proposed, categorized into training-time strategies (e.g., supervised fine-tuning, reinforcement learning) and test-time mechanisms (e.g., prompt engineering, multi-agent systems), and outlining future directions toward building efficient, robust, and sociotechnically r...
This Review examines volumetric foundation models, language alignment and compression strategies, and agentic systems that extend MLLMs through planning, tools, memory, and workflow interaction, and introduces a Claim-Design-Validation framework to assess whether technical, workflow, and clinical claims are matched by...
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