Artificial Intelligence Applications and Reconfigurable Architectures

1Strategic Infrastructural Developments to Reinforce Reconfigurable Computing for Indigenous AI Applications

Deepti Khurge

Pimpri Chinchwad College of Engineering, Pune, India

Abstract

Artificial intelligence (AI) methodologies have the potential to reform many aspects of human life. The capabilities of AI are continuously evolving so as its enterprise adoption. Globally governments and industries are actively conceiving where and how to leverage AI. Machine learning (ML) and AI are evolving at a faster rate than silicon can be developed. To take advantage of AI to its potential, the appropriate AI infrastructure must be strategically planned. AI solutions will require appropriate hardware, software, and scalable processing models. The ecosystem of AI business applications, hence, can be seen as a whole.

The need for enterprises to comprehend the correct technology and infrastructure required to implement AI-powered solutions is growing by the day. Significant AI infrastructures are AI networking infrastructure, workloads, data preparation, data management and governance training, and Internet of Things (IoT). If the potential in the labor force, academic institutions, and governance standing is identified and leveraged effectively, commercial strategies can lead to an AI breakthrough.

Keywords: Artificial intelligence, reconfigurable computing, GPU, FPGA, ASIC, hardware accelerator

1.1 Introduction

Recently, reconfigurable computing has made significant advancements in ...