week 21 Intro too AI
Intro too AI This week, we delved into the XOR challenge, a key puzzle in the field of artificial intelligence (AI) that initially stumped early AI models. The XOR (exclusive OR) logic gate is simple yet tricky: it outputs true only when the inputs differ. For a while, early neural networks couldn’t crack it due to its non-linear nature, highlighting a crucial limitation in AI's early days. Addressing this puzzle required a rethink of neural network design. By integrating more layers and employing varied activation functions, these networks gained the ability to grasp the XOR’s complexities, marking a leap forward in AI's capability to solve non-linear problems. Our practical exploration involved programming an Arduino Uno to tackle the XOR problem with a neural network. This setup included configuring the network with layers for input, hidden processing, and output, then training it with appropriate data. The training process is pivotal: through repeated cycles, the network ...