Abstract: A Gatling type machine gun system whose rotational operation of subsystems is accomplished by way of a plurality of electronically controlled motors. The Gatling type gun system includes a core gun, a feeder subsystem, and a transfer subsystem each of which must operate at particular instance and speed to accomplish the proper operation of the gun system. Control of the gun and subsystems is provided by electronically controlled motors.

Abstract: A system and method design and optimize neural networks. The system and method include a data store that stores a plurality of gene vectors that represent diverse and distinct neural networks and an evaluation queue stored with the plurality of gene vectors. Secondary nodes construct, train, and evaluate the neural network and automatically render a plurality of fitness values asynchronously. A primary node executes a gene amplification on a select plurality of gene vectors, a crossing-over of the amplified gene vectors, and a mutation of the crossing-over gene vectors automatically and asynchronously, which are then transmitted to the evaluation queue. The process continuously repeats itself by processing the gene vectors inserted into the evaluation queue until a fitness level is reached, a network's accuracy level plateaus, a processing time period expires, or when some stopping condition or performance metric is met or exceeded.

Abstract: A Gatling type machine gun system whose rotational operation of subsystems is accomplished by way of a plurality of electronically controlled motors. The Gatling type gun system includes a core gun, a feeder subsystem, and a transfer subsystem each of which must operate at particular instance and speed to accomplish the proper operation of the gun system. Control of the gun and subsystems is provided by electronically controlled motors.