Looking at computing vs biology as two fields is disingenuous, given that computing hasn't been around long enough to stagnate, although looking at ML research

Looking at computing vs biology as two fields is disingenuous, given that computing hasn't been around long enough to stagnate, although looking at ML research it is slowing down significantly. Computing is slowing down advancement as well, with silicon-based systems reaching their limit. What has biotech given us? Cheap portable HIV testing for developing countries, non-invasive targeted treatment of various cancers, (Magnitude level). If you don't see gains in the bioengineering space you aren't looking hard enough, and you also aren't taking into account the FDA scrutinizing new technologies and treatments before they are released into the wild. The assumption is you don't have a bio background because you have no idea why progress is slow. I'm wondering what kind of bio background you do have where time isn't an issue. Sure I can spin up a bunch of GPUs on demand to train my image classifier, but what I'm training it on is months of experiments run non-stop, and that's with a relatively quick animal model.