Abstract: The method provides for a low power and a temperature independent analog to digital convertor for systems which use non-volatile cells for forming neurons to be used for neural network applications. The method uses a common counter which can be an up-counter or a down-counter depending on implementation, but in which the source and sink currents to a comparator are changed with temperature by the same percentage as the average bit line current for specific weight distributions programmed in the non-volatile cells forming the neurons. The method uses charge accumulation for detecting the average neuron current.

Abstract: In one aspect, a system for analog in-memory compute for a neural network includes an array of neurons. Each neuron of the array of neurons receives a pulse of magnitude xi, and duration t, wherein a product xi*yi provides a current proportional to the input for a time duration t, which is a charge associated with a particular neuron in response to the input being presented to that particular neuron. A reference cell includes a gate-drain connected flash cell configuration and coupled with the array of neurons. The reference cell is programmed to a pre-determined threshold voltage Vt-ref. The reference cell receives a pre-determined current, Iref, wherein, based on the Iref and a pre-determined threshold voltage Vt-ref, a voltage is created at a drain of the reference cell.

Abstract: In one aspect, a system for analog in-memory compute for a neural network includes an array of neurons. Each neuron of the array of neurons receives a pulse of magnitude xi, and duration t, wherein a product xi*yi provides a current proportional to the input for a time duration t, which is a charge associated with a particular neuron in response to the input being presented to that particular neuron. A reference cell includes a gate-drain connected flash cell configuration and coupled with the array of neurons. The reference cell is programmed to a pre-determined threshold voltage Vt-ref.

Abstract: The method provides for a low power and a temperature independent analog to digital convertor for systems which use non-volatile cells for forming neurons to be used for neural network applications. The method uses a common counter which can be an up-counter or a down-counter depending on implementation, but in which the source and sink currents to a comparator are changed with temperature by the same percentage as the average bit line current for specific weight distributions programmed in the non-volatile cells forming the neurons. The method uses charge accumulation for detecting the average neuron current.

Abstract: Methods, systems, and computer program products for adaptively adjusting a registration interval of an endpoint are provided. In an embodiment of the subject matter disclosed herein, a method of adaptively adjusting a registration interval of an endpoint comprises determining a registration interval for an endpoint associated with a binding defined at a network address translation device. The method also comprises determining a stability of the binding based on a message received from the endpoint. Further, the method comprises adjusting the registration interval for the endpoint based on the determined stability of the binding. A message can be sent to the endpoint for indicating the adjusted registration interval.

Abstract: Methods, systems, and computer program products for adaptively adjusting a registration interval of an endpoint are provided. In an embodiment of the subject matter disclosed herein, a method of adaptively adjusting a registration interval of an endpoint comprises determining a registration interval for an endpoint associated with a binding defined at a network address translation device. The method also comprises determining a stability of the binding based on a message received from the endpoint. Further, the method comprises adjusting the registration interval for the endpoint based on the determined stability of the binding. A message can be sent to the endpoint for indicating the adjusted registration interval.