The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work?
Smart machines are no longer science-fiction. They are being used by businesses right here and now. And, every day, their capabilities are growing.
So exactly what is a smart machine?
Everything you've always wanted to know about smart machines other cognitive computing systems that are able to make decisions and solve problems without human intervention.
By the end of reading this book, you will master the discussion about the following topics in Smart Machines:
01 - The Rise of Smart Machines: Smart machines are built on top of the breakthroughs in computer science. the advent of computers in the 20th century laid the modern groundwork for Smart Machines. Researchers, analysts and technology leaders agree that Smart Machines will change our lives
02 - Smart machines definitions: Why did Smart Machines emerge now and not later? General-purpose technology (GPT) is an economics term for innovation. Smart machines are devices that can teach themselves how to do things. Smart machines are built on top of existing technologies. The surge of progress in machine learning thanks to big data.
03 - Artificial intelligence of Smart Machines: Defense Advanced Research Projects Agency (DARPA) Projects.
04- Cognitive computing of Smart Machines: This categorization of Cognitive Computing and the discussion of the types of applications. Cognitive technologies are very good at analyzing large amounts of data and identifying anomalies.
05 - The real-world examples of Smart Machines: From DeepBlue to Watson.
06 - Smart Machine technologies: Smart Dust, Virtual Personal Assistants, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles: Autonomous Vehicles.
07 - Smart machines go to school to learn:Central to machine learning is the process of feeding training data into a mathematical prediction model. The outlier cases are the best chances for learning
08 - Smart machines are wiser and smarter every day: Future machine learning, and the large increase in available data and the rise of crowdsourcing
09 - Smart machines speak multi-languages: One particularly complex problem facing machine translation today is dealing with rare languages
10 - Artificial Intelligence Levels: Support for Humans, Repetitive Task Automation, Context Knowledge and Learning, Self-awareness.
11 - Cognitive Task Types: Analyzing Numbers, Words and Images Analysis, Performing Digital Tasks, Performing Physical tasks
12 - The Great Convergence: The approach of key vendors to achieve the great convergence. The attributes of cognitive architecture. People will continue to have advantages over even the smartest machines.
13 - Smart robotics from vision to reality: Simultaneous Localization and Mapping. Funding the robotics projects. Robots navigate on planets. Developing robots for government and consumer-oriented applications. Robots in Japan. Robots Deployment. Social acceptance of robots.
14 - The business benefits of Smart Machines: Smart machines will change the way work. The use of Smart Machines in information technology.
15 - Smart machines are efficient: what do we really mean by machines replacing jobs?
16 - Smart machines raise challenging questions: The impact of Smart Machines on labor market. machines get smarter and more independent, and may not to our advantage.
17 - The future of Smart Machines: The growing role of industry labs and federal agencies. The advance of Smart Machines cannot be stopped so we must be ready for it.
