Artificial Intelligence : A Modern Approach

One of the hottest topics that modern science has been focusing on for a long time is the field of artificial intelligence, the study of intelligence in machines or, according to Minsky, “the science of making machines do things that would require intelligence if done by men”.(qtd in Copeland 1). Artificial Intelligence has a lot of applications and is used in many areas. “We often don’t notice it but AI is all around us. It is present in computer games, in the cruise control in our cars and the servers that route our email.” (BBC 1). Different goals have been set for the science of Artificial Intelligence, but according to Whitby the most mentioned idea about the goal of AI is provided by the Turing Test. This test is also called the

61 years after the Dartmouth conference, and true artificial intelligence that thinks for itself does not exist yet. Nonetheless, many advances in the field have been made, with focus on Machine Learning, Neural Networks, Expert Systems, and Fuzzy Logic. These are all methods that comprise an AI system, and separately, are used in specific applications.

Dr. Ahrendt noted the huge advancements that have been made over the last decade, but made sure to note that the math behind AI and machine learning is quite old mathematics. “Now that we can compute things so quickly… we can see the bloom of AI and machine learning.”

The technology has evolved a lot since past decade. Interestingly, Artificial intelligence systems have so much advanced now and it is being

Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the

I am currently a senior majoring in Computer Science and Technology at the Communication University of China. I have attained a firm foundation in computer science and have already taken my first step towards research on artificial intelligence, which proves my commitment to this subject. I am applying to the Master of Science Program in Computer Science at the University of California, San Diego to continue my studies.

2. In the article taken from Why Can’t My Computer Understand Me? Gary Marcus suggests that AI are not advanced enough in communication to live up to their potential. He is relevant to this argument because he is a credible professor of psychology with a focus on linguistics. A mastery of linguistics is needed by him to make

With reference to Computer Science, I have been involved in a variety of ways for some time and my enthusiasm has developed at an exponential rate. This interest has been generated particularly through Decision maths, where in I have been exposed to various algorithms and theorems. I am fascinated by its universal challenges and real-life applications such as Chinese Postman problem which concerns Amazon’s

My middle school self spent her evenings in front of a music stand for which she was already too tall. I would dive into that week’s clarinet etude, punctuating the tune with squeaks and wrong notes, still full—mentally and physically—from the dinner table offerings, food and academic discussion. My parents expected my sounds only to improve. But then, in grade ten, I attacked multiphonics, playing more than one note at a time, and erased that hope for improvement. To make up for my inability to master the technique, I became an expert on the theory, which surprisingly contained mathematical concepts. Two notes that sound good together have very simple ratios of frequencies. The notes I’d play together probably had ratios somewhere around 453/920. But I liked the theory more anyway. The noises made the math real. I started listening for matching frequencies, and would agitate my band friends by blurting out fractions in the middle of songs.

The concept of artificial intelligence was first labeled by a man named Alan Turing in 1950, he believed that the future would hold the possibility for man to communicate with computers and sustain a conversation (Atkinson, Solar 1). Although, we have reached the point where it is possible to hold a simple preprogrammed conversation with a computer and give them the ability to learn, there is still a long way to go in making computers fully artificially intelligent. Atkinson and Solar continue to describe some real world applications of artificial intelligence such as, “Data mining technologies, fraud detection, and industrial-strength optimization” (8). In these examples, forms of artificial intelligence like cognitive reasoning abilities are already being used making the demand for them higher.

Artificial Intelligence otherwise known as AI, it is the development and the theory of some computer systems which are able to undertake certain tasks which will normally need the intelligence of humans. The tasks that are normally in need of the human intelligence are the likes of translation of languages, making decisions recognition of speech among others. Good examples of these technologies that fall under the AI are; augmented reality, Virtual Assistants, and robots. On the other hand, employee productivity can also be called workforce productivity. Productivity is evaluated in terms of the output of employees within a given time. A Lot of US multinational have embraced the use of this technology as it has been touted as leading to some financial benefits(Bobrow,2005). My research is limited to American multinational corporations like Amazon and Google.

Artificial intelligence, or AI, is a field of computer science that attempts to simulate characteristics of human intelligence or senses. These include learning, reasoning, and adapting. This field studies the designs of intelligent

One of this AI technologies tools is the Artificial Neural Networks which work much like the human brain and have the ability to learn from training

Most experts agree that Artificial Intelligence is on the increase in various fields. It has become one of the most controversial scientific issues of the twenty-first century. It raises the unemployment rate, workers will not find enough jobs for them and some of them may lose their work. As a result of technology, according to Wilson, Daugherty and Bianzino (2017), "The threat that automation will eliminate a broad swath of jobs across the world economy is now well established. As Artificial Intelligence (AI) systems become ever more