Cognitive Engineering for Next Generation Computing

7Cognitive Computing

T Gunasekhar* and Marella Surya Teja

Department of CSE, K L E F, Guntur, Andhra Pradesh, India

Abstract

The advancement of network-empowered sensors and Artificial Intelligence (AI) gives rise to different human-focused smart techniques that offer excellent quality services, for example, productive collaboration, self-governing driving, and brilliant medical services. Considering cognitive computing as a crucial innovation to build up these smart frameworks, this paper proposes human-focused cognitive computing supported by cloud computing. To begin with, we give a complete evolution description and analysis of the cognitive computing system including its advancement from data discovery, big data, and cognitive cloud. At that point, the architecture of cognitive computing is proposed, which comprises three basic innovations including IoT (networking), big data analytics (which enables technologies like reinforcement learning, deep learning, and image understanding), and cloud computing. At last, it portrays the applications of human-focused cognitive computing, involving chatbot creation, expressive communication structure like sentiment analysis & face/emotion detection, medical cognitive techniques, and risk assessment.

Keywords: Cognitive computing, artificial intelligence, internet of things, cloud computing, reinforcement learning, deep learning, sentiment analysis, natural language processing

7.1 Introduction

Recently, cognitive computing has obtained ...