ML

Where do real AI breakthroughs come from?
Recent analysis shows the biggest gains happen when proven frameworks meet targeted innovation.

In computer vision, models like Faster R-CNN and YOLO provide strong, efficient baselines.
But in medical imaging, a custom “NIRMAL” optimizer improved accuracy by up to +11.9%, showing that rethinking core components can unlock major performance jumps.

The key? Knowing when to rely on established tools — and when to push boundaries with domain-specific tweaks.

What’s your experience — refining the basics or inventing something new?