Emerging Technologies Series

The idea of interfacing minds with computers has captured human imagination for a long time. Recent developments in neuroscience and engineering have made this concept a possibility, opening the door to restoring and potentially growing human physical and mental capabilities. Medical applications such as cochlear implants for deaf patients and deep brain stimulation for Parkinson's disease are becoming increasingly common. Brain-computer interfaces (BCIs) (also known as brain-machine interfaces or BMIs) are currently being explored in applications as diverse as defense, lie detection, alertness monitoring, telepresence, gaming, education, art, and human enhancement. By the end of reading this book, you will master the discussion about the following topics of Brain Computer Interface: Definitions UCLA and DARPA Neuro-Prosthetics Applications Neuromodulation History Electroencephalography (EEG) Brain Computer Interface challenge Brain/Neural Computer Interaction (BNCI) project Contingent Negative Variation (CNV) The Brain Computer Interface Society BCI Versus Neuro Prosthetics Animal Brain Computer Interface Research Phillip Kennedy's Research Yang Dan's Research Miguel Nicolelis' Research Donoghue, Schwartz, Andersen Research Carmena and colleagues Research Lebedev and colleagues Research General-Purpose Brain Computer Interface Research Framework Brain Machine Interface (BMI) Passive Brain Computer Interface Invasive Brain Computer Interfaces Treat Non-Congenital Blindness Restore Mobility in Disabled Individuals Partially invasive Brain Computer Interfaces Electrocorticography (ECoG) Light Reactive Imaging Brain Computer Interface Non-invasive Brain Computer Interface Non-Electroencephalography (EEG)-based brain–computer interface Pupil-Size Oscillation Functional Near Infrared Spectroscopy Electroencephalography (EEG)-based brain-computer interface Advanced Functional Neuroimaging Dry Active Electrode Array SSVEP Mobile Electroencephalography (EEG) Brain Computer Interface Cellular-based Brain Computer Interface Mobile Brain Computer Interface Devices Limitations Prosthesis and Regulation of the World Brain Computer Interface in Military Do It Yourself and Open-Source Brain Machine Interface Open Brain Programming Interface Reconstruction of Human Vision Brain Computer Interface Control Strategies in Neurogaming Motor Imagery Bio/Neurofeedback for Passive Brain Computer Interface Visual Evoked Potential (VEP) Synthetic telepathy/silent communication DARPA Silent Talk Objective Brain-Based Communication Using Imagined Speech First Direct Electronic Contact Experiment Conducted Between Two Humans' Nervous Systems Produce Morse Code Using Electroencephalography (EEG) Transmission of Electroencephalography (EEG) Signals Over the Internet Cell-Culture Brain Computer InterfaceS Caltech First Neurochip Artificial or Prosthetic Hippocampus Neurochip Rat Brain Neurons Fly an F-22 Fighter Jet Aircraft Simulator Ethical Considerations Current Brain Machine Interfacess Are Away from The Ethical Problems Brain Computer Interface In Medical and Pharmaceutical Research Low-cost Brain Computer Interface Sony 2006 NeuroSky 2007 OCZ 2008 Final Fantasy 2008 Uncle Milton Industries 2009 Emotiv 2009 Neurowear's "Necomimi" 2012 They Shall Walk 2014 Open-Source Brain Computer Interface 2016 Neuralink 2020 Future directions Disorders of consciousness (DOC) Motor Recovery Functional Brain Mapping Flexible Devices Neural Dust

What Is Swarm Intelligence - Traders deciding on the next big market bet. - A navigation app quickly mapping out a less-explored area. - Fashion brands choosing the hottest color of the season. - An airport managing fight delays. What do these scenarios have in common? In each one, swarm intelligence blends global and local insight to improve how businesses make decisions. Swarm intelligence is a form of artificial intelligence (AI) inspired by the insect kingdom. In nature, it describes how honeybees migrate, how ants form perfect trails, and how birds flock. In the world of AI, swarm systems draw input from individual people or machine sensors and then use algorithms to optimize the overall performance of the group or system in real time. Consider Waze, the popular road navigation app that uses swarm intelligence to create and modify maps. Starting with limited digital maps, it began making tweaks based on its users’ GPS data along with manual map modifications by registered users. Entire cities have been mapped using this method, as was the case in Costa Rica’s capital, San José. And just as ants signal danger to their counterparts, so too do Waze users contribute live information from accident locations and traffic jams. Swarm intelligence is now being used to predict everything from the outcome of the Super Bowl to fashion trends to major political events. Using swarm intelligence, investors can better predict market movements, and retailers can more accurately forecast sales. How You Will Benefit By the end of reading this book, you will have the answers to the public top 100 questions, queries, issues, doubts, problems and inquiries. Most importantly, you will be able master the discussion about the following topics in Swarm Intelligence, and explore the new ways of thinking about life and business: 01 - Fundamental Concepts: Definition, Systems, Nature 02 - Models of Swarm Behavior: Boids, Self-Propelled Particles 03 - Optimization Problem: Elements, Formulations, and Search Solutions 04 - Meta-Heuristic Nature Inspired Optimization Algorithms Inspired by Swarm Intelligence 05 - Meta-Heuristic and Monkeys Problems: Infinite, Finite, and the difference 06 - Common Algorithmic Characteristics and Comparisons: Ant Colony Optimization, Bee Colony Optimization, Bat Algorithm, Cuckoo Search, Particle Swarm Optimization, Firefly Algorithm, Flower Pollination Algorithm, Swarm Intelligence Application Areas, Travelling Salesman Problem, Telecommunication, Image Processing, Engineering Design, Vehicle Routing 07 - Swarm Intelligence Systems: Taxonomy, Natural vs. Artificial, Scientific vs. Engineering 08 - Examples of Swarm Intelligence Systems: Foraging Behavior of Ants, Clustering by a Swarm of Robots, Exploitation of Collective Behaviors of Animal Societies, Swarm-based Data Analysis 09 - Properties of Swarm Intelligence Systems: Individual, Homogeneous, Interaction, Self-Organized 10 - Studies and Applications of Swarm Intelligence Systems: Clustering Behavior of Ants, Nest Building Behavior of Wasp and Termites, Flocking and Schooling in Birds and Fish, Any Colony Optimization, Particle Swarm Optimization, Swarm-based Network Management, Cooperative Behavior in Swarm of Robots. 11- Swarm Intelligence as a Whole New Way of Thinking About Business: Perspective and Advantages 12 - Swarm Intelligence Foraging for Solutions in Telecommunication, Information Technology, Logistics, Manufacturing. 13 - Advantages of Swarm Intelligence for Organizations: Simple Rules Rule, Raiding New Markets, A swarm of Possibilities.

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 Sm