The Physics of AI: Is Moore's Law Enough?
As we continue to push the boundaries of Artificial Intelligence (AI), the hardware crisis is becoming increasingly evident. The immense computational cost and energy consumption of training large models are threatening to slow down the progress of AI research. In this article, with valuable insights from expert mentors of Poddar International College , the renowned IT college in Jaipur , we will explore the limitations of traditional computing architectures and discuss novel computing architectures like neuromorphic chips and optical computing designed specifically for AI workloads. The Hardware Crisis: A Threat to AI Progress The rapid advancement of AI in recent years has been fueled by the availability of large amounts of data and the increasing computational power of traditional computing architectures. However, as AI models continue to grow in size and complexity, the computational cost and energy consumption of training these models are becoming prohibitively expensive. Th...