The Challenge of Deep Learning in Vision and Speech Precondition

All of the sensors really corrected by humidity variation during the acquisition so we use explicit techniques with a humidity sensor always the amplifier which is an hardware to reduce this impact in the signal. To achieve what we can call the dry smell inputs then we use machine learning on the remaining signal techniques to recognize the smell for example. If we don't approach AI with this mix I believe we ask the machine learning to support all the problem as a black box and we have to acquire that to fill a cube in 3D rather than a square in fire will simply hide.