Please, people here who are expert on databases or AI, help me understand this.
handheld spectrometer that scans a pill with infrared light, then sends the item's molecular profile to an AI model equipped with a pharmaceutical database
The scan results in a linear array of data. Translating that to signatures for chemicals is basic spectroscopy which has worked for decades. Correlating that with a database of real versus bogus signatures seems like basic lookup or a DB query, which has also worked fine "forever". I don't understand why this needs an AI solution, or why AI would be better than traditional methods.
The other stories about aerial scanning for cashew disease or ant infestations seem more suited to AI, looking for complex patterns in noisy data, and for those, maybe AI does outperform conventional analysis, but I still don't get the phony pill problem as needing AI.
Many articles the past several months seem to be similar - some company or researcher reporting how they used AI to solve problems that were easily and cheaply solved before.
If AI is going to be valuable as another means of analysis suited for some problems, not so much for others, and researchers or executives use it when proper but not otherwise - fair enough - that seems like a sensible way to use any technology. AI as just a tool for certain problems, no hype, no BS, just use it when appropriate - that should be the future.
Maybe when all the current brouhaha settles and sensible reality takes over, that is what AI will eventually be, and that's not bad.
But for now, it seems like many people are using it, and issuing press releases on "look how great I am, I used AI, my cup runneth over with BS". And, they do it just because, you know, the bandwagon, lemmings, the pied piper, fomo, build a career on bs of the day, justify corporate investment for bs of the day - but not because it makes sense or there weren't already capable tools to do the job.
Am I missing something?