The Moore’s Law in the Era of Artificial Intelligence
Artificial intelligence (AI) and machine learning (ML) have become topics of significant interest and impact in recent years. This surge in interest has been partly fueled by the growing computational power made possible by Moore’s Law.
Introduction
Formulated by Intel co-founder Gordon Moore in 1965, Moore’s Law states that the number of transistors in an integrated circuit roughly doubles every two years, leading to exponential growth in computational power. In this article, we will explore how Moore’s Law relates to the boom in AI and ML, discussing the benefits that increasing computational power has brought to AI and the challenges that may arise in the future.
The Moore’s Law and the Impetus to Artificial Intelligence
Moore’s Law has provided a solid foundation for the advancement of artificial intelligence.
The exponential growth in computational power has allowed machines to process more complex tasks and learn from data more rapidly and efficiently.
Recent advances in parallel processing and the use of hardware accelerators, such as graphics processing units (GPUs) and tensor processing units (TPUs), have been made possible by the continuous advancement of Moore’s Law.
