Abstract: A computational device performs the operation of a bank of convolutional filters commonly used in a convolutional neural network. The input, output and filter coefficients are represented with, a low precision of their significand which precision is preferably 3 of r bits which is sufficient so that no loss of accuracy is found in the network output. This enables replacement of the multiplications employed in such a convolutional computation device with a simple look up table for all possible product values for the significand of the input tensor and a filter coefficient. The accumulated result for each filter across its coefficients is efficiently formed by summing the shifted and filter center aligned output of this look up table. The electronics or software required to perform the convolutional filtering operation is greatly simplified and has much less computational cost than an equivalent computational device that employs higher precision and multiplications.

Abstract: A scented pellet comprising a suitable bulk material such as wax and a scented material for introducing scent to the melt pool of a candle. The pellet is so constructed that it melts and mixes into the melt pool of the candle for the purpose of releasing the scented material within the pellet into the melt pool as the bulk material of the pellet melts. The scent is mixed with the candle melt pool giving the candle a scent while the candle burns.