Deep DiveIntroduction to Deep Learning and Neural Networks Coresight Research August 22, 2016 Executive Summary Deep learning and neural networks are techniques used in computer science to analyze data. They are especially useful in pattern and image recognition. Neural networks use software to mimic the function of the many neurons in the human brain. These functions can be tuned over time; this means man-made neural networks can learn. Deep learning refers to the use of multiple layers of neural networks. Consumers benefit from these technologies every day when they read curated news headlines, research renting a room online or converse with a chatbot. Although the emerging artificial intelligence (AI) market is estimated at just $400 million this year, it can potentially enhance tens of billions of adjacent markets such as, medicine, consumer electronics, robotics, and most importantly, autonomous cars. Many global industrial and technology companies are pursuing autonomous cars. Venture capitalists and technology companies are aggressively investing in and acquiring AI startups. Already a subscriber? Log in You are currently viewing a preview of this report. Please select an access option to view the full report. Hide Options - Show Options + Get unlimited access to all our research with one of our subscription plans. View Subscription Plans or Contact us to purchase this report. Contact us ✕ This document was generated for Other research you may be interested in: Black Friday 2025: Key Insights from US Stores—Solid Shopper Demand, Some True Doorbusters and Greater Omnichannel IntegrationRetail-Tech Landscape: Unified CommerceInnovator Profile: Autolane—Operating Infrastructure for Autonomous Curbside LogisticsSector Focus: Luxury Shopping—Data Graphic