Prediction based garbage collection

A method, comprising:

• generating a first prediction using an artificial neural network of a memory device;
• generating a first confidence interval for the first prediction using the artificial neural network;
• responsive to determining that the first confidence interval is greater than a threshold of the memory device, triggering a first instance of garbage collection using the first prediction;
• generating a second prediction using the artificial neural network of the memory device;
• generating a second confidence interval for the second prediction using the artificial neural network;
• and
• responsive to determining that the second confidence interval is not greater than the threshold, triggering a second instance of garbage collection, of the memory device, without the use of the first prediction and the second prediction.

An apparatus, comprising:

• a memory device;
• a controller coupled to the memory device and configured to:
• receive a command stream comprising a plurality of commands, wherein the command stream is received at the controller and wherein the controller is utilized to trigger a garbage collection of the memory device;
• identify a predetermined command from the command stream;
• and
• responsive to identifying the predetermined command, train an artificial neural network implemented in the controller utilizing the plurality of commands,
• wherein the artificial neural network is utilized to trigger the garbage collection of the memory device.