Deep Dive 10 minutes PremiumIntroduction 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. This report is for paying subscribers only. Already a paying subscriber? Please log in to see the entire report.If you wish to learn more about our subscription plans and become a paying subscriber, click here. This document was generated for Other research you may be interested in: Market Navigator: US Healthcare—Evolving To Become More Personalized and Consumer-FocusedWeinswig’s Weekly: Three Trends About the US Return to Office You Don’t Already KnowSeptember 2023 China Retail Sales: Growth Continues To StrengthenWeekly US and UK Store Openings and Closures Tracker 2024, Week 6: Tractor Supply Announces Expansion Across Banners