When fake data is a good thing – how synthetic data trains AI to solve real problems

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...
IEEE

MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image data

Abstract: Traditional Deep Learning (DL) approaches for medical image classification rely on centralized, static datasets, which do not adequately reflect the dynamic, real-world medical practice ...