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WHAT Artificial intelligence (AI) is the basis for mimicking human intelligence processes through the creation and application of algorithms built into a dynamic computing environment. Stated simply, AI is trying to make computers think and act like humans. AI is a technology that mimics human intelligence, allowing computer applications to learn from experience via iterative processing and algorithmic training. AI systems get smarter with each successful round of data processing since each interaction allows the system to test and measure solutions, and develop expertise in the task it’s been set to accomplish. Since this can be completed rapidly, much faster than the rate a human being would be able to perform similar work, AI systems can become experts far faster than humans, making them incredibly effective options for any process requiring intelligent decision making. This makes AI an incredibly powerful, and extremely valuable technology, since it essentially allows computers to think and behave like humans, but at much faster speeds and with much more processing power than the human brain can produce. In many cases and for a variety of different applications, AI systems are capable of significantly outperforming humans, and that’s the primary reason why AI technology has become so important to the modern economy. WHY Today, the amount of data that is generated, by both humans and machines, far outpaces humans’ ability to absorb, interpret, and make complex decisions based on that data. Artificial intelligence forms the basis for all computer learning and is the future of all complex decision making. Types of Artificial Intelligence Artificial Intelligence can be divided based on capabilities and functionalities. There are three types of Artificial Intelligence-based on capabilities – Narrow AI General AI Super AI What is Narrow AI? Narrow AI, also called as Weak AI, focuses on one narrow task and cannot perform beyond its limitations. It targets a single subset of cognitive abilities and advances in that spectrum. Narrow AI applications are becoming increasingly common in our day-to-day lives as machine learning and deep learning methods continue to develop. Apple Siri is an example of a Narrow AI that operates with a limited pre-defined range of functions. Siri often has problems with tasks outside its breadth of abilities. Other examples of Narrow AI include google translate, image recognition software, recommendation systems, spam filtering, and Google’s page-ranking algorithm. What is General AI? General AI, also known as strong AI, can understand and learn any intellectual task that a human being can. It allows a machine to apply knowledge and skills in different contexts. AI researchers have not been able to achieve strong AI so far. They would need to find a method to make machines conscious, programming a full cognitive ability set. What is a Super AI? Super AI surpasses human intelligence and can perform any task better than a human. The concept of artificial superintelligence sees AI evolved to be so akin to human sentiments and experiences that it doesn’t merely understand them; it also evokes emotions, needs, beliefs, and desires of its own. Its existence is still hypothetical. Some of the critical characteristics of super AI include thinking, solving puzzles, making judgments, and decisions on its own. USEFUL Artificial intelligence technology offers several critical benefits that make it an excellent tool for virtually any modern organization, including: Automation – AI is able to automate a repetitive task that was previously done manually, without feeling any fatigue or having to take breaks like a human employee would need to do. Enhancement – AI can make products and services smarter and more effective, improving experiences for end-users, via capabilities like optimizing conversation bots or customer service menus, and delivering better product recommendations. Analysis – AI can analyze data at a much faster rate than humans, allowing it to find patterns much more quickly, and it can also analyze much larger datasets than humans, allowing it to uncover patterns humans would simply miss. Accuracy – AI can be trained to become more accurate than humans, utilizing its ability to harvest and interpret data to come up with better decisions for tasks like picking financial investments or identifying cancerous growths on x-rays. ROI – AI maximizes the value of data since it’s able to do a better job analyzing complex, multi-variate relationships, without having to take any breaks and with fewer mistakes, making it an incredibly important technology for any business that relies on data and operates at scale. Simply put, AI allows organizations to make better decisions, improving core business processes by increasing both the speed and accuracy of strategic decision-making processes. Where Artificial Intelligence (AI) is bringing a drastic change in technological fields, where it can be implemented to automate the system for more efficiency and performance. AI is now getting used in multiple fields from simply your mobile phone to diagnosing the diseases providing a high-performance and accurate system work with efficiency. Here we will discuss what are major things and fields AI is used and under process to get fully implemented and launched in upcoming years. Here we will discuss mainly about the fields or industries where AI is playing an important role helping humans to work with better performance and efficiency without help of humans. Currently AI is Used is Following Things/Fields: Virtual Assistant or Chatbots Agriculture and Farming Autonomous Flying Retail, Shopping and Fashion Security and Surveillance Sports Analytics and Activities Manufacturing and Production Live Stock and Inventory Management Self-driving Cars or Autonomous Vehicles Healthcare and Medical Imaging Analysis Warehousing and Logistic Supply Chain

What Robotics is an interdisciplinary branch of computer science and engineering.[1] Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Robotics integrates fields of mechanical engineering, electrical engineering, information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, etc. Robotics develops machines that can substitute for humans and replicate human actions. Why robotics is important? Robotics technology influences every aspect of work and home. Robotics has the potential to positively transform lives and work practices, raise efficiency and safety levels and provide enhanced levels of service. Even more, robotics is set to become the driving technology underpinning a whole new generation of autonomous devices and cognitive artefacts that, through their learning capabilities, interact seamlessly with the world around them, and hence, provide the missing link between the digital and physical world. Robotics is already the key driver of competitiveness and flexibility in large scale manufacturing industries. Without robotics many of Europe’s successful manufacturing industries would not be able to compete from their current European bases of operation. In these industries robotics already underpins employment. Increasingly robotics is becoming more relevant for smaller manufacturing industries which are central to Europe’s manufacturing and employment capacity. By the same token, service robotics will show far more disruptive effects on the competitiveness of nonmanufacturing industries such as agriculture, transport, healthcare, security and utilities. The growth in these areas over the coming decade will be much more dramatic. From what is currently a relatively low base, service robots used in non-manufacturing areas are expected to become the largest area of global robot sales. Types of Robots Aerospace: This is a broad category. It includes all sorts of flying robots—the Smart Bird robotic seagull and the Raven surveillance drone, for example—but also robots that can operate in space, such as Mars rovers and NASA’s Robonaut, the humanoid that flew to the International Space Station and is now back on Earth. Consumer: Consumer robots are robots you can buy and use just for fun or to help you with tasks and chores. Examples are the robot dog Aibo, the Roomba vacuum, AI-powered robot assistants, and a growing variety of robotic toys and kits Disaster Response: These robots perform dangerous jobs like searching for survivors in the aftermath of an emergency. For example, after an earthquake and tsunami struck Japan in 2011, Packbots were used to inspect damage at the Fukushima Daiichi nuclear power station. Drones: Also called unmanned aerial vehicles, drones come in different sizes and have different levels of autonomy. Examples include DJI’s popular Phantom series and Parrot’s Anafi, as well as military systems like Global Hawk, used for longduration surveillance. Education: This broad category is aimed at the next generation of roboticists, for use at home or in classrooms. It includes hands-on programmable sets from Lego, 3D printers with lesson plans, and even teacher robots like EMYS. Entertainment: These robots are designed to evoke an emotional response and make us laugh or feel surprise or in awe. Among them are robot comedian RoboThespian, Disney’s theme park robots like Navi Shaman, and musically inclined bots like Partner. Exoskeletons: Robotic exoskeletons can be used for physical rehabilitation and for enabling a paralyzed patient walk again. Some have industrial or military applications, by giving the wearer added mobility, endurance, or capacity to carry heavy loads. Humanoids: This is probably the type of robot that most people think of when they think of a robot. Examples of humanoid robots include Honda’s Asimo, which has a mechanical appearance, and also androids like the Geminoid series, which are designed to look like people. Industrial: The traditional industrial robot consists of a manipulator arm designed to perform repetitive tasks. An example is the Unimate, the grandfather of all factory robots. This category includes also systems like Amazon’s warehouse robots and collaborative factory robots that can operate alongside human workers. Medical: Medical and health-care robots include systems such as the da Vinci surgical robot and bionic prostheses, as well as robotic exoskeletons. A system that may fit in this category but is not a robot is Watson, the IBM questionanswering supercomputer, which has been used in healthcare applications. Military & Security: Military robots include ground systems like Endeavor Robotics’ PackBot, used in Iraq and Afghanistan to scout for improvised explosive devices, and BigDog, designed to assist troops in carrying heavy gear. Security robots include autonomous mobile systems such as Cobalt. Research: The vast majority of today’s robots are born in universities and corporate research labs. Though these robots may be able to do useful things, they’re primarily intended to help researchers do, well, research. So, although some robots may fit other categories described here, they can also be called research robots. Self-Driving Cars: Many robots can drive themselves around, and an increasing number of them can now drive you around. Early autonomous vehicles include the ones built for DARPA’s autonomous-vehicle competitions and also Google’s pioneering self-driving Toyota Prius, later spun out to form Waymo. Telepresence: Telepresence robots allow you to be present at a place without actually going there. You log on to a robot avatar via the internet and drive it around, seeing what it sees, and talking with people. Workers can use it to collaborate with colleagues at a distant office, and doctors can use it to check on patients. Underwater: The favorite place for these robots is in the water. They consist of deep-sea submersibles like Aquanaut, diving humanoids like Ocean One, and bio-inspired systems like the ACM-R5H snakebot. Advantages of Robots Cost-Effectiveness: Robots can be set to work on a repetitive cycle continuously without any break thereby increasing the production rate. This results in higher output that helps in the recovery of cost and makes profits further. Improved Quality Assurance: Manual involvement in repetitive tasks may affect concentration levels and can lead to errors and quality failures. Robotic automation eliminates these risks by accurately producing and checking items as per specified standards.