Given the tools available now, I'm not surprised a smart 13yo could build something like this. Especially if the sensor itself is an off-the-shelf component with device drivers and such already available for it.
A 13-year-old used my artificial nose to diagnose pneumonia
71–80 of 188 posts
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#72This is what happens when you give children the tools to succeed by teaching them math and science in ways that directly relate to their world view. Obviously, this kid is very bright, but giving kids the tools to understand how the ideas they're learning can be applied in the real world is so satisfying. They aren't blinded by previous failures, or the current market, or what can and can't be done.
Maybe. It’s more like it’s what a kid’s parents do when kids can no longer be kids and are driven to start working on their college applications earlier and earlier. There’s more to life than getting into MIT.
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#73I am not skeptical of the kid being able to do this. Good for them! I'm sure they will grow up to be an inquisitive and brilliant member of society. However, like many, I feel like this article could be papering over... something. OK I'll just say it: Privilege. And hey! Not every kid with privilege ends up being brilliant! And he may not be privileged! But it is a lot easier to succeed when you have it. And my probl…
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#74Earlier quoted context omitted.
The sensor (the four gas sensors on the board) was created by a third person. The artificial nose is the TinyML model which trains on the sensor data (CO, NO2, ethanol, VOCs) to detect arbitrary scents by their signatures in those four categories. The fungal pneumonia detector wires up a whole API with azure etc. and trains the model specifically to recognize pneumonia, based on an actual science experiment which gre…
The reason why no engineer has made this yet, is because the medical data was not available to them. The innovation is in the data, not in the ML.
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#75Earlier quoted context omitted.
And you cant do this durring a) the school day when the primary end user is not home or b) wake up at 2am and reboot it while the primary end user is asleep? Honestly, I think your kid should break out the SLA and check what compensation they get paid for prime time outages.
Yes, lesson learnt and we have agreed to the new agreement -- no more primetime outages -- planned or otherwise.
With that said, I doubt your 13 year old daughter client is actually paying for that level of service, so... ;-)
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#76The main invention is in the electronic nose. The kid just did the plumbing of connecting it to some ML library. Of course, the electronic nose itself is a work of plumbing too, where some existing gas sensors are put on a pcb. In short, nothing seems really new here, but the application is interesting. I guess it's always interesting when people start looking for correlations in data and get some positive results, s…
But that doesn't take away from the fact that its a cool project and the kid did a great job in coming up with it and executing on it! Its definitely far beyond what most people achieve, nevermind 13 year olds.
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#77Earlier quoted context omitted.
Yes, lesson learnt and we have agreed to the new agreement -- no more primetime outages -- planned or otherwise.
I mean, another solution is to give warning at regular intervals beforehand (day, hour, ten minutes, 1 minute perhaps). Basically planned outages with ample warning. Of course, avoiding prime time planned outages is always good in any scenario and I'm sure goes a long way to keep all clients happy. With that said, I doubt your 13 year old daughter client is actually paying for that level of service, so... ;-)
I am not a lawyer so feel free to go to court claiming that 100% uptime is the limits of mathematics or that the world will not end if is not accessible for 5 minutes on a tuesday afternoon. Its a losing case every time, best just to settle up the case quietly with an extra scoop of icecream or some robux and cut your losses.
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#78Earlier quoted context omitted.
> turns out to be bogus Sometimes very bogus, even totally fake example: https://www.youtube.com/watch?v=otjvUz7qKXc ('free energy' device, "invented" by a kid, debunked by electroboom)
Did you watch the video linked in the article?
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#79The main invention is in the electronic nose. The kid just did the plumbing of connecting it to some ML library. Of course, the electronic nose itself is a work of plumbing too, where some existing gas sensors are put on a pcb. In short, nothing seems really new here, but the application is interesting. I guess it's always interesting when people start looking for correlations in data and get some positive results, s…
I think the news is less "13 year old revolutionized medicine" and more "13 year old used ingenuity to create cool thing" . Or at least, that's how I think it should be read. Focusing too much on the end result is likely not the best outcome because, while its a working prototype, many interesting prototypes never make it to fully end user capable system and there are a lot of hurdles to overcome to get it there. But…
Re: A 13-year-old used my artificial nose to diagnose pneumonia
#80The main invention is in the electronic nose. The kid just did the plumbing of connecting it to some ML library. Of course, the electronic nose itself is a work of plumbing too, where some existing gas sensors are put on a pcb. In short, nothing seems really new here, but the application is interesting. I guess it's always interesting when people start looking for correlations in data and get some positive results, s…
The sensor (the four gas sensors on the board) was created by a third person. The artificial nose is the TinyML model which trains on the sensor data (CO, NO2, ethanol, VOCs) to detect arbitrary scents by their signatures in those four categories. The fungal pneumonia detector wires up a whole API with azure etc. and trains the model specifically to recognize pneumonia, based on an actual science experiment which gre…