This essay is going to define machine learning and describe some of the different areas within

In a guest column, Computers vs. Brains on the Opinionator of The New York Times, Sandra Aamodt and Sam Wang analyzed some of the arguments by inventor Raymond Kurzweil, one of the leading inventors of our time, in his most recent futurist manifesto: “The Singularity Is Near: When Humans Transcend Biology” (2005). Kurzweil estimates that machines will inevitably be able to surpass our thinking capabilities within a few decades. Kurzweil's speculative reasoning has been heavily debated and challenged. In Aamodt and Wang's article they point out that there are fundamental differences between our brains and computers that makes Kurzweil's predictions improbable. The purpose of this essay is to evaluate the arguments of sides, Kurzweil's book

Artificial intelligence or AI is in simple terms, the ability for a computer to learn on its own, without any input from the user, and it has the ability to think on its own and make its own decisions and is also able to understand human intelligence. This is done by using tools in many fields. These fields include, but are not limited to computer science, natural language and speech, machine learning and patter recognition, and computer vision (Luke Muehlhauser, 2014). This also includes psychology, cognitive science, neuroscience, economics, probability, and optimization and logic. These are only the beginnings of what is required to meet what is needed to even to begin to scratch the topic of

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

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.”

At the same time, he gives a broad overview about machine learning, and its potential role in the future. He describes a world where programs

This paper addresses the controversies surrounding technological singularity, whether it is a possibility in the future or simply an overly ambitious/grandiloquent idea/fiction. The topic has been a household debate specially since the recent advances in Artificial Intelligence (i.e. Google’s prototype for driverless cars). On one hand, Artificial Intelligence (AI) enthusiasts and optimists suggest that technological singularity (TS) is inevitable, owing to the emulation of the human mind. They also credit the ‘exponential growth’ of progress in this field to be a key factor. While on the other hand, there are skeptics, that argue that this progress has its limits and will meet its end soon enough. They reason that emulating an extraordinarily

Writers Vernor Vinge and Ray Kurzweil have written about a historical event that will occur with artificial intelligence (AI) technology, where we create a new form of intelligent life. This new AI will make us question our existence and what it means to be “human”, a point of no return for technological history. Kurzweil focused on AI development and the fusion between computers and humans, and while this may sound improbable, we have seen the impacts already: Google’s DeepMind, IBM’s Watson, changes in technology for transportation (self-driving cars, car share services/taxis), medicine (Google’s verily, deep learning algorithms for medical diagnosis), the financial sector (bitcoin/digital currency trading, ‘robot advisors’), consumer sales

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

Many people fear that adding AI to industries will mean a decrease in jobs, which it will. Many fields will feel the effect of AI, if not today, in the near future. Assembly lines that once contained humans, now contain robots. Check-out clerks at stores are gradually being replaced with self check-out machines. Bank tellers aren't used as often because of the ease of automated teller machine (ATM) banking. In fact, some banks charge a fee if you use their tellers for transactions that can be made at an ATM. In the previous section, it was stated that AI

It has widely been applied in our daily lives – when we go to Amazon.com, we see recommended items selected by the machine learning algorithms; online music streaming services, such as Spotify and Pandora, use machine learning to guess songs that we like; search engines, Google for example, use machine learning to learn our searching habits and suggest websites that we most likely want to visit. Indeed, machine learning has made our lives much easier to some extent. However, machine learning might also bias our views. Personal Assistant services, such as Google Now and Cortana, study your habits and use that data to filter and select what you prefer to see and present them to you; Facebook pushes news to your timeline, but only those the machine learning algorithm thinks you are interested in. In general, machine learning algorithms take in users’ habits and interpret them into their preferences, and therefore provide more information that matches their

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, the intelligence displayed by machines, has been a major topic discussed by the general public. Although we already make use of it today, some are against its future advancement. They fear that it will cause unemployment, bias towards races, and that it will eventually turn against humanity. On the other hand, some people are for the advancement of AI. They believe that it will help with energy savings,emergency management, and a company’s time saving.

Computers are everywhere today. It would be impossible to go your entire life without using a computer. Cars, ATMs, and TVs we use everyday, and all contain computers. It is for this reason that computers and their software have to become more intelligent to make our lives easier and computers more accessible. Intelligent computer systems can and do benefit us all; however people have constantly warned that making computers too intelligent can be to our disadvantage.

Artificial Intelligence is a topic within the public media that has existed for decades, but is now a concern due to the reality of human advancement and innovation in the field of science and technology. Many people believe that computers will become self-aware or sentient and view humanity as a disposable resource and gain supremacy. Reasoning that research on the technology should halt and not become more advance. Whereas others believe they will help catapult research and the economy forward, supporting the operations and innovations the technology offers. The complicated and divided solutions to the debate aren’t obvious, but there are more benefits to improving artificial intelligence than there is stopping it. Therefore, the negative effects people believe will occur can be resolved.