What Makes Us Superior To Robots When It Comes To Common Intelligence? The debate about man vs robots is an evergreen and common thing now. While robots are viewed as an enabler of a dystopian future brought by  digital disruption , the main question that has baffled minds is how smart are they. When it comes to human intelligence, there isn’t any other living being or ‘mechanical or AI mind’ that can draw parallel with us. Yet, robots powered by  AI  have been able to perform trivial, monotonous tasks with accuracy far better than us. It is important to note that this does not imply robots have acquired  cognitive intelligence  nor common sense which are intrinsic to humans, despite de facto of the recent marvels of  robotics . The main problem is that most of the algorithms that are written for  robots  are based on machine learning coding. These codes are collected from a particular type of data, and models are trained based on individual test conditions. Hence, when put in a situ

  Androids, or robots with humanlike features, are often more appealing to people than those that resemble machines—but only up to a certain point. Many people experience an uneasy feeling in response to robots that are nearly lifelike, and yet somehow not quite "right." The feeling of affinity can plunge into one of repulsion as a robot's human likeness increases, a zone known as "the uncanny valley." The journal  Perception  published new insights into the cognitive mechanisms underlying this phenomenon made by psychologists at Emory University. Since the uncanny valley was first described, a common hypothesis developed to explain it. Known as the mind-perception theory, it proposes that when people see a  robot  with human-like features, they automatically add a mind to it. A growing sense that a machine appears to have a mind leads to the creepy feeling, according to this theory. "We found that the opposite is true," says Wang Shensheng, first auth

  RoboCut is also able to carve hearts.  How do you calculate the coordinated movements of two robot arms so they can accurately guide a highly flexible tool? ETH researchers have integrated all aspects of the optimisation calculations into an algorithm. A hot-wire cutter will be used, among other things, to develop building blocks for a mortar-free structure. A newborn moves its arms and hands largely in an undirected and random manner. It has to learn how to coordinate them step by step. Years of practice are required to master the finely balanced movements of a violinist or calligrapher. It is therefore no surprise that the advanced calculations for the optimal movement of two robot arms to guide a tool precisely involve extremely challenging optimisation tasks. The complexity also increases greatly when the tool itself is not rigid, but flexible in all directions and bends differently depending on its position and movement. Simon Dünser from Stelian Coros' research group at the

  E lectronic skins that perform the same sensory functions as human skin could mean big things for the fields of robotics and medical devices, and scientists are not solely focused on just the pleasant ones. Researchers in Australia have succeeded in developing an artificial skin that responds to painful stimuli in the same way real skin does, which they see as an important step towards intelligent machines and prosthetics. It mightn’t seem like the most practical of goals, but researchers have been working to develop electronic skins that allow robots and prostheses to feel pain for quite some time. These technologies could enable amputees to know if they are  picking up something sharp or dangerous , for example, or could make  robots more durable and safer for humans to be around . The researchers behind the latest breakthrough, from Australia’s Royal Melbourne Institute of Technology, believe they have created a first of-a-kind device that can replicate the feedback loop of painfu

  Humanoid robots, those with bodies that resemble humans, could soon help people to complete a wide variety of tasks. Many of the tasks that these robots are designed to complete involve picking up objects of different shapes, weights and sizes. While many humanoid robots developed up to date are capable of picking up small and light objects, lifting bulky or heavy objects has often proved to be more challenging. In fact, if an  object  is too large or heavy, a robot might end up breaking or dropping it. With this in mind, researchers at Johns Hopkins University and National University of Singapore (NUS) recently developed a technique that allows robots to determine whether or not they will be able to lift a heavy box with unknown physical properties. This technique, presented in a paper pre-published on arXiv, could enable the development of robots that can lift objects more efficiently, reducing the risk that they will pick up things that they cannot support or carry. "We were

  Artificial intelligence (AI) is developing quickly as an unbelievably amazing innovation with apparently limitless application. It has shown its capacity to automate routine tasks, for example, our everyday drive, while likewise augmenting human capacity with new insight. Consolidating human imagination and creativity with the adaptability of machine learning is propelling our insight base and comprehension at a remarkable pace. However, with extraordinary power comes great responsibility. In particular, AI raises worries on numerous fronts because of its possibly disruptive effect. These apprehensions incorporate workforce uprooting, loss of protection, potential biases in decision-making and lack of control over automated systems and robots. While these issues are noteworthy, they are likewise addressable with the correct planning, oversight, and governance. Numerous  artificial intelligence systems  that will come into contact with people should see how people behave and what they

  How Is Artificial Intelligence Used in Analytics? Analytics powers your marketing program, but how much value are you really getting out of your data? Artificial intelligence can help. AI is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information. That includes your analytics data from places like Google Analytics, automation platforms, content management systems, CRMs, and more. In fact, AI exists today that can help you get much more value out of the data you already have, unify that data, and actually make predictions about customer behaviors based on it. That sounds great. But how do you actually get started? This article is here to help you take your first step. At Marketing AI Institute, we’ve spent years researching and applying AI. Since 2016, we've published more than 400 articles on the subject. And we've published stories on 50+ AI-powered vendors with more than $1 billio

 It is  Robotics part of AI? Is AI part of robotics? What is the difference between the two terms? We answer this fundamental question. Robotics and artificial intelligence (AI) serve very different purposes. However, people often get them mixed up.  A lot of people wonder if robotics is a subset of artificial intelligence. Others wonder if they are the same thing. Since the first version of this article, which we published back in 2017, the question has gotten even more confusing. The rise in the use of the word "robot" in recent years to mean any sort of automation has cast even more doubt on how robotics and AI fit together (more on this at the end of the article).   It's time to put things straight once and for all.  Are robotics and artificial intelligence the same thing? The first thing to clarify is that robotics and artificial intelligence are not the same things at all. In fact, the two fields are almost entirely separate. A Venn diagram of the two fields would l

  This is a technology of AI with which the robots can see. The computer vision plays vital role in the domains of safety, security, health, access, and entertainment. Computer vision automatically extracts, analyzes, and comprehends useful information from a single image or an array of images. This process involves development of algorithms to accomplish automatic visual comprehension. Hardware of Computer Vision System This involves − Power supply Image acquisition device such as camera A processor A software A display device for monitoring the system Accessories such as camera stands, cables, and connectors Tasks of Computer Vision OCR  − In the domain of computers, Optical Character Reader, a software to convert scanned documents into editable text, which accompanies a scanner. Face Detection  − Many state-of-the-art cameras come with this feature, which enables to read the face and take the picture of that perfect expression. It is used to let a user access the software on correct