Abstract: A method and system to provide a pill bottle with a removable pill cap case. A bottle cap has a hollow area which receives the removable pill cap case which fits (snaps) into the bottle cap. The removable pill cap case has a flip-top lid which can open and close and enable pills to be placed therein. As such, a user can open the pill bottle, place one or more of the pills inside the removable pill cap case, close the removable pill cap case, and then carry the removable pill cap case around with him/her without having the carry the entire pill bottle.

Abstract: A method and system to provide a pill bottle with a removable pill cap case. A bottle cap has a hollow area which receives the removable pill cap case which fits (snaps) into the bottle cap. The removable pill cap case has a flip-top lid which can open and close and enable pills to be placed therein. As such, a user can open the pill bottle, place one or more of the pills inside the removable pill cap case, close the removable pill cap case, and then carry the removable pill cap case around with him/her without having the carry the entire pill bottle.

Abstract: A method and system to provide a pill bottle with a removable pill cap case. A bottle cap has a hollow area which receives the removable pill cap case which fits (snaps) into the bottle cap. The removable pill cap case has a flip-top lid which can open and close and enable pills to be placed therein. As such, a user can open the pill bottle, place one or more of the pills inside the removable pill cap case, close the removable pill cap case, and then carry the removable pill cap case around with him/her without having the carry the entire pill bottle.

Abstract: A programmable logic unit (e.g., an ASIC or FPGA) having a feedforward linear associative memory (LAM) neural network checking circuit which classifies input vectors to a faulty hardware block as either good or not good and, when a new input vector is classified as not good, blocks a corresponding output vector of the faulty hardware block, enables a software work-around for the new input vector, and accepts the software work-around input as the output vector of the programmable logic circuit. The feedforward LAM neural network checking circuit has a weight matrix whose elements are based on a set of known bad input vectors for said faulty hardware block. The feedforward LAM neural network checking circuit may update the weight matrix online using one or more additional bad input vectors. A discrete Hopfield algorithm is used to calculate the weight matrix W.