What does CMAC mean in UNCLASSIFIED

Applications Of CMAC

CMAC has found applications in many industries due to its versatility and power. It has been used successfully for robotics, image/video recognition, medical diagnosis systems, machine learning tools such as automated feature selection algorithms, object detection in autonomous vehicles among other things. In addition, some studies have also shown that it can be used as an alternative algorithm in artificial intelligence agents playing multi-player games such as Go. In this case CMAC allows the agent to recognize patterns in game states more efficiently than traditional machine learning techniques such as reinforcement learning algorithms. In general terms CMAC is especially useful where fast adaptation time is needed or considering large datasets since they can benefit from taking advantage of this type of neural network architecture's capacity to process high dimensional data quickly whilst using fewer trainable parameters than traditional methods. Ultimately this makes them suitable candidates for solving problems which require quick decisions and adaptation even when given little prior knowledge about their environment or task at hand.