Recent content by pixelsolivia

For Medical Robots, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

I wanted to start a broader practical use cases thread around Deep Learning. A useful angle is common mistakes, but it also connects with quality versus speed. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...