1hr could be calc time and not that you hold meat under it for an hour. This bit seems important.
Meanwhile, fellow AI expert, Kjell Carlisson of San Francisco-based Domino Data Lab, says that the e-noses would need complicated fine tuning for each facility they were working at. “This is an extraordinarily difficult task in an industry not known for embracing new technologies,” he says.
even without that, business wouldnt adopt unless they see a lot of savings from not having spoiled meat in the deli, but you know we are pretty good detectors ourselves. Yeah this might be better but we are calculating if its better even for the cost and training and use. Then you add all this on top… vaporware, sorry but it is. Until it can be taken out of a box and turned on, its vaporware as far as this goes.
The beverage industry already uses these pretty intensively, alongside human sensory testing. I might be wrong, but I think the development here is connecting it to AI to help detect things faster and more accurately. With similar technology already widely used, it may not be as daunting a task as you might think.
1hr could be calc time and not that you hold meat under it for an hour. This bit seems important.
even without that, business wouldnt adopt unless they see a lot of savings from not having spoiled meat in the deli, but you know we are pretty good detectors ourselves. Yeah this might be better but we are calculating if its better even for the cost and training and use. Then you add all this on top… vaporware, sorry but it is. Until it can be taken out of a box and turned on, its vaporware as far as this goes.
The beverage industry already uses these pretty intensively, alongside human sensory testing. I might be wrong, but I think the development here is connecting it to AI to help detect things faster and more accurately. With similar technology already widely used, it may not be as daunting a task as you might think.