The phrase “” might conjure robotic uprisings led by malevolent, self-aware androids.
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But in reality, computers are too busy offering movie recommendations , studying famous works of art , and creating fake faces to bother taking over the world.
During the past few years, has become an integral part of modern life, shaping everything from online shopping habits to disease diagnosis. Yet despite the field’s explosive growth, there are still many misconceptions about what, exactly, is, and how computers and machines might shape future society.
Part of this misconception stems from the phrase “” itself. “True” , or artificial general intelligence, refers to a machine that has the ability to learn and understand in the same way that humans do. In most instances and applications, however, actually refers to , computer programs that are trained to identify patterns using large datasets.
“For many decades,
“These are not what we would call ‘cognitive abilities,’” adds computer scientist Shivani Agarwal. “It doesn’t mean that the computer is able to reason.”
If
Intelligent machines?
All programs are made of algorithms, “recipes” that tell the computer how to complete a task. Machine learning programs are unique: Instead of detailed step-by-step instructions, algorithms are “trained” on large datasets, such as 100,000 pictures of cats. Machine learning programs then “learn” which features of the image make up a cat, like pointed ears or orange-colored fur. The program can use what it learned to decide whether a new image contains a cat.
Computers excel at these pattern-recognition tasks, with
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