Abstract: Deep learning systems excel in closed-set environments but face challenges in open-set settings due to mismatched label spaces between training and test data. Generalized category discovery ...

Abstract: Medical image segmentation is a critical task in clinical applications. Recently, the Segment Anything Model (SAM) has demonstrated potential for natural image segmentation. However, the ...

Use separate AWS accounts for testing Set up AWS billing alerts and budgets Review AWS pricing before enabling warm throughput Clean up resources after demo completion using the cleanup command ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...