In the late 2010s, the development of specialized AI chips, such as Google’s Tensor Processing Unit (TPU) and NVIDIA’s Graphics Processing Unit (GPU), significantly accelerated the processing power available for AI applications. These chips are optimized for the parallel processing tasks required by AI algorithms, making them crucial for advancements in machine learning and deep learning.