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About Us

Asia Pacific International Publishing (APIP) is a world-leading academic publisher committed to providing top-tier academic editing and journal publication services to scholars worldwide. With over a decade of experience, APIP has polished and published over a million academic papers. Through APIP, researchers can publish their articles in high-impact journals, offering a one-stop solution for all your PhD research needs.

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Securing private data at scale with differentially private partition selection
19
September
2025

Securing private data at scale with differentially private partition selection

We present novel algorithms to preserve user privacy in data releases, improving the state of the art in differentially private partition selection. Large, user-based datasets are invaluable for advancing AI

A scalable framework for evaluating health language models
September 19, 2025
A scalable framework for evaluating health language models

Evaluation of language models in complex domains (such as health) can be expensive and labor intensive. We present a new adaptive and precise rubric methodology that saves time and increases inter-rater reliability compared to existing protocols. Large language models can be used to analyze and interpret complex data. Our previous work has shown how they […]

How Google’s AI can help transform health professions education
September 19, 2025
How Google’s AI can help transform health professions education

We explore the utility of Google’s AI models as helpful tools in medical learning environments. By employing a learner-centered and evaluation-driven approach, we seek to reimagine the future of education for health professionals. The global health workforce is facing a critical shortage, with projections indicating a deficit exceeding 11 million healthcare workers by 2030. At Google, […]

Accelerating scientific discovery with AI-powered empirical software
September 19, 2025
Accelerating scientific discovery with AI-powered empirical software

Our new AI system helps scientists write empirical software, achieving expert-level results on six diverse, challenging problems. In scientific research, thoroughly evaluating hypotheses is essential to developing more robust and comprehensive answers, but the required work forms a bottleneck, hindering the pace of discovery. In particular, much of modern scientific research depends on computational experiments […]

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