4 ms·
> I work in AI/ML and every places I've seen the practical applications of these techniques has ranged the equivalent to adding sprinkles on a cake, to complete
by wyldfire 5y ago
> I work in AI/ML and every places I've seen the practical applications of these techniques has ranged the equivalent to adding sprinkles on a cake, to completely useless engineering nightmares that would ultimately create more value with their removal.
That "count the objects" app that can tell you how many items you have in a photo seems like a very practical application that wasn't possible with traditional CV before ML.
- kristianov 5y agoIt's only good for rough estimates. For accurate inventory you have to hand-count the items just to be sure. RFID tag is a much better technology.
- jazzyjackson 5y ago"count the objects" is an interesting example to choose, it brings to mind the 1962 analog computer called "numa-rete" , composed of a grid of photocell nuerons (physical circuits) that works in parallel to instantaneously count the objects sitting on its surface. Not far off from image recognition, save for the background segmentation ;) machine is briefly described here, I've seen a more thorough breakdown somewhere out there... https://distributedmuseum.illinois.edu/exhibit/biological_computer_laboratory/ https://distributedmuseum.illinois.edu/exhibit/biological_co...
- dx034 5y agoIf that worked well you could skip annual inventory, on which many companies spend huge amounts on. If you could just have a robot with video driving through the aisles of a supermarket to detect the number of items, misplaced items or expired items, that would be a huge value add and lead to less waste. But I doubt we're there yet.