Machine thinking on its own is called mcq

Answer: a Explanation: The Internet of Things (IoT) is a network of physical objects embedded with sensors, software, and other technologies for exchanging data with other devices over the internet. 3. Who coined the term “Internet of Things”? a) Kevin Aston b) John Wright c) Edward Jameson d) George Garton View Answer Answer: a Explanation: Kevin invented coined the term “Internet of Things” in 1999 during his work at Procter & Gamble to describe the network connecting objects in the physical world with the Internet. 4. When was the actual term “Internet of Things” coined? a) 1998 b) 1999 c) 2000 d) 2002 View Answer Answer: b Explanation: The actual term “Internet of Things” was coined in 1999 by technologist Kevin Aston during his work at Procter & Gamble while giving a presentation about technology and the internet. 5. Which of the following is not an IoT device? a) Table b) Laptop c) Arduino d) Tablet View Answer Answer: d Explanation: IoT devices are wireless devices and they use the internet for collecting and sharing data. They are not completely safe because they store data and sometimes hackers access them. 7. Which of the following is not an IoT platform? a) Amazon Web Services b) Microsoft Azure c) Salesforce d) Flipkart View Answer Answer: d Explanation: Amazon Web Services, Microsoft Azure, and Salesforce provide cloud computing IoT services. But Flipkart is an e-commerce website that provides marketing facilities. 8. Which of the following is not an applicati...

Machines do not ‘think fast and slow’ in the sense that humans do in dual-process models of cognition. However, the people who create the machines may attempt to emulate or simulate these fast and slow modes of thinking, which will in turn affect the way end users relate to these machines. In this opinion article we consider the complex interplay in the way various stakeholders (engineers, user experience designers, regulators, ethicists, and end users) can be inspired, challenged, or misled by the analogy between the fast and slow thinking of humans and the Fast and Slow Thinking of machines. Section snippets Analogies between Human and Machine Behavior Machine behaviorists use the methods of the social and behavioral sciences to study intelligent machines as if they were humans or other animals [1]. For example, if machine behaviorists wished to understand the behavior of virtual assistants such as Siri or Alexa, they could run controlled experiments to see how the assistants react to different requests in different contexts. This approach does not assume that Siri and Alexa think the same way as human assistants, or that it would be useful The Folk Theory of Thinking Fast and Slow Our purpose does not require a state-of-the-art review of dual-process models, because we are not concerned about the way humans ‘actually’ think fast and slow. What we are concerned with is the folk theory of Fast and Slow Thinking (capitalized, see below) – or maybe the folk ‘theories’ of Fa...

This article lists 100+ Artificial Intelligence MCQs for engineering students. All the Artificial Intelligence Questions & Answers given below include a hint and wherever possible link to the relevant topic. This is helpful for the users who are preparing for their exams, interviews, or professionals who would like to brush up their fundamentals on the Artificial Intelligence topic. Artificial Intelligence (AI) is an intelligence illustrated by machines that can perform multiple tasks like creating an intelligent entity, performing a task without being instructed explicitly, and independent of analyzing, thinking, and enacting accordingly at a time similar to humans. AI activities can be measured using various approaches such as cognitive modeling, the law of thought, rational agent, and turning approaches. Further AI technology can be understood by diving into AI domains such as machine learning, deep learning, neural networks, natural language processing, There 3 types of AI that exist namely Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI). The advantage of using AI technology is it's available 24 by 7, performs repetitive tasks, digital assistance, and many more.

2. What is Artificial Intelligence? a) Artificial Intelligence is a field that aims to make humans more intelligent b) Artificial Intelligence is a field that aims to improve the security c) Artificial Intelligence is a field that aims to develop intelligent machines d) Artificial Intelligence is a field that aims to mine the data View Answer Answer: c Explanation: Artificial Intelligence is the development of intelligent systems that work and react in the same way that humans do. Intelligence is a process or a component of the ability to achieve goals in the world. People, animals, and a few machines all have different types and degrees of intelligence. 3. Who is the inventor of Artificial Intelligence? a) Geoffrey Hinton b) Andrew Ng c) John McCarthy d) Jürgen Schmidhuber View Answer Answer: c Explanation: John McCarthy was a pioneer in Artificial Intelligence research, helping to name the field and spending decades teaching computers to grasp concepts that are intuitive to humans. 4. Which of the following is the branch of Artificial Intelligence? a) Machine Learning b) Cyber forensics c) Full-Stack Developer d) Network Design View Answer Answer: a Explanation: Machine learning is one of the important sub-areas of Artificial Intelligence likewise Neural Networks, Computer Vision, Robotics, and NLP are also the sub-areas. In machine learning, we build or train ML models to do certain tasks. 5. What is the goal of Artificial Intelligence? a) To solve artificial problems b...

• v • t • e The philosophy of artificial intelligence is a branch of the philosophy of artificial intelligence. Some scholars argue that the AI community's dismissal of philosophy is detrimental. The philosophy of artificial intelligence attempts to answer such questions as follows: • Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? • Are human intelligence and machine intelligence the same? Is the • Can a machine have a feel how things are? Questions like these reflect the divergent interests of Important • • The • • • Can a machine display general intelligence? [ ] Is it possible to create a machine that can solve all the problems humans solve using their intelligence? This question defines the scope of what machines could do in the future and guides the direction of AI research. It only concerns the behavior of machines and ignores the issues of interest to really thinking, as a person thinks, rather than just producing outcomes that appear to result from thinking? The basic position of most AI researchers is summed up in this statement, which appeared in the proposal for the • "Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it." Arguments against the basic premise must show that building a working AI system is impossible because there is some practical limit to the abilities of computers or that there is some special quality of the human m...

Should the researchers manage to get their robot and the artificial intelligence they created out in the open, it could potentially usher in an entirely new era full of "thinking" machines. How Does It Work? To achieve the feat, the scientists used nerve cells that were grown from real living cells. In their design, the cells played the role of so-called physical reservoirs, from where the onboard computer could create the appropriate signals that made the robot "decide" how to approach a task on its own. Should the machine (which is small enough to fit in the palm of your hand) do something wrong, like go off the wrong direction, the nerve cells in its "brain" would be shocked with electric current? (Photo : Getty Images ) The scientists were able to "teach" In other words, it's a bit like trial-and-error. Unlike other machines, these robots will be able to perform tasks they're not programmed to do. Read also: The Tech Has Been Around For Years This seems new, right? A robot that can think for itself sounds like something that can only be achieved by tech that has come out in recent years. But you'd be surprised that this has already existed for a decade. Unsurprisingly, the Japanese once again managed to create a thinking robot as far back as 2011. According to (Photo : Getty Images ) However, that one didn't use living cells, but rather With this algorithm, the robot can use its own knowledge (aka what it already "know") to think and decide how it should complete the t...