What Is Artificial Intelligence (AI)?

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In September 1955, John McCarthy, a young assistant professor of mathematics at Dartmouth College, boldly proposed that "every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." McCarthy called this new field of study "artificial intelligence," and suggested that a two-month effort by a group of 10 scientists could make significant advances in developing machines that could "use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves." At the time, scientists optimistically believed we would soon have thinking machines doing any work a human could do. Now, more than six decades later, advances in computer science and robotics have helped us automate many of the tasks that previously required the physical and cognitive labor of humans. But true artificial intelligence, as McCarthy conceived it, continues to elude us.


Why AI Could Be Entering a Golden Age - Knowledge@Wharton

#artificialintelligence

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before.


Why AI Could Be Entering a Golden Age - Knowledge@Wharton

#artificialintelligence

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.


Why AI Could Be Entering a Golden Age - Knowledge@Wharton

#artificialintelligence

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed ...


How Artificial Intelligence is moving ahead from science fiction to reality

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Artificial Intelligence (AI) is advancing and penetrating swiftly into many areas, from smart personal assistants to self-driving cars. Though traditionally AI is portrayed as robots with human-like attributes, it can basically incorporate anything from autonomous weapons to Google's search algorithms to IBM's Watson. AI is primarily achieved by examining the human brain in terms of thinking, and determining how humans decide, learn, and work, while trying to accomplish a specific task. With the rapid advancements in the technology landscape, businesses are leveraging analytics, social, mobile, and cloud applications in their marketing activities. This is expected to help convert the business into a digital enterprise, in turn helping them target a larger base of consumers.