Several key enablers have contributed to the rapid growth of artificial intelligence (AI) and its related technologies. Here's a comprehensive breakdown:
* Abundance of Data: The exponential increase in data from various sources (social media, IoT devices, etc.) provides the raw material needed for training complex AI models.
* High-Performance Compute: Advances in hardware, such as GPUs and TPUs, have significantly lowered the cost and increased the availability of high-performance computing power required to train large AI models.
* Improved Algorithms: Continuous innovations in algorithms and techniques (e.g., deep learning, reinforcement learning) have enhanced the capabilities and efficiency of AI systems.
* References:
* LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep Learning. Nature, 521(7553), 436-444.
* Dean, J. (2020). AI and Compute. Google Research Blog.