This changed during the 1956 Dartmouth Summer Research Project on AI where there was an inspiring call for AI research, setting the precedent for two decades of rapid advancements in the field. The development of AI was not very rapid at first because of the high costs and the fact that computers were not able to store commands. Turing's groundbreaking 1950 paper, " Computing Machinery and Intelligence," posed fundamental questions about machine reasoning similar to human intelligence, significantly contributing to the conceptual groundwork of AI. It began with science fiction familiarizing the world with the concept but the idea wasn't fully seen in the scientific manner until Alan Turing, a polymath, was curious about the feasibility of the concept. Īrtificial Intelligence is an idea that has been captivating society since the mid-20th century. The tradition of creative automatons has flourished throughout history, exemplified by Maillardet's automaton created in the early 1800s. The concept of automated art dates back at least to the automata of ancient Greek civilization, where inventors such as Daedalus and Hero of Alexandria were described as having designed machines capable of writing text, generating sounds, and playing music. Since its inception, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the consequences of creating artificial beings with human-like intelligence these issues have previously been explored by myth, fiction and philosophy since antiquity. The academic discipline of artificial intelligence was established at a research workshop held at Dartmouth College in 1956 and has experienced several waves of advancement and optimism in the decades since. Main article: History of artificial intelligence However, concerns have been raised about the potential misuse of generative AI such as cybercrime, the use of fake news or deepfakes to deceive or manipulate people, and the mass replacement of human jobs. Software development, healthcare, finance, entertainment, customer service, sales and marketing, art, writing, fashion, and product design. Generative AI has uses across a wide range of industries, including Companies such as OpenAI, Anthropic, Microsoft, Google, and Baidu as well as numerous smaller firms have developed generative AI models. These include large language model (LLM) chatbots such as ChatGPT, Copilot, Gemini and LLaMA, text-to-image artificial intelligence image generation systems such as Stable Diffusion, Midjourney and DALL-E, and text-to-video AI generators such as Sora. Improvements in transformer-based deep neural networks enabled an AI boom of generative AI systems in the early 2020s. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. Generative artificial intelligence ( generative AI, GenAI, or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts. Théâtre D'opéra Spatial, an image generated by Midjourney Not to be confused with Artificial general intelligence.
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