
In recent years, advances in artificial intelligence (AI) have driven a surge in the development of more efficient and powerful hardware platforms. Among these, neuromorphic computing has emerged as a groundbreaking paradigm that promises to dramatically outperform traditional deep learning architectures in terms of computational efficiency and power consumption. This article leverages insights from Sumeet Kumar, CEO and founder of