AI, or artificial intelligence, has become a buzzword in recent years, but its roots can be traced back to the 20th century. While many credit OpenAIs ChatGPT as the catalyst for AIs popularity in 2022, the concept has been in development for much longer.
The foundational idea of AI can be attributed to Alan Turing, a mathematician famous for his work during World War II. In his paper Computing Machinery and Intelligence, Turing posed the question, Can machines think? He introduced the concept of The Imitation Game, where a machine attempts to deceive an interrogator into thinking it is human.
However, it was Frank Rosenblatt who made the first significant strides in AI implementation with the creation of the Perceptron in the late 1950s. The Perceptron was a computer modeled after the neural network structure of the human brain. It could teach itself new skills through iterative learning processes.
Despite Rosenblatts advancements, AI research dwindled due to limited computing power and the simplicity of the Perceptrons neural network. It wasnt until the 1980s that Geoffrey Hinton, along with researchers like Yann LeCun and Yoshua Bengio, reintroduced the concept of neural networks with multiple layers and numerous connections to enable machine learning.
Throughout the 1990s and 2000s, researchers further explored the potential of neural networks. Advances in computing power eventually paved the way for machine learning to take off around 2012. This breakthrough led to the practical application of AI in various fields, such as smart assistants and self-driving cars.
In late 2022, OpenAIs ChatGPT brought AI into the spotlight, showcasing its capabilities to professionals and the general public alike. Since then, AI has continued to evolve, and its future remains uncertain.
To better understand and navigate the world of AI, Lifehacker provides a collection of articles that cover various aspects of living with AI. These articles include tips on identifying when AI is deceiving you, an AI glossary, discussions on fictional AI, and practical uses for AI-powered applications.
As AI continues to shape our world, it is essential to stay informed and prepared for the advancements and challenges it brings.
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The Evolution of Artificial Intelligence: From Turing to Neural Networks - Fagen wasanni
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