AI (Artificial Intelligence)

Extracted Attributes

• Field

  Computer Science

• Applications

  Data analytics, predictions, forecasting, object categorization, natural language processing, recommendations, intelligent data retrieval, content creation (text, images, video, audio)

• Core Technologies

  Machine Learning, Deep Learning, Generative AI

• Strategic Importance

  Crucial for U.S. leadership in technology and economic competition

• Cultural Representation (Film)

  A.I. Artificial Intelligence (2001)

Timeline

• A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence is made by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, often considered the birth of AI as a field. (Source: web_search_results)

  1955-08-31

• John McCarthy creates LISP (List Processing), the first programming language for AI research. (Source: web_search_results)

  1958

• Edward Feigenbaum and Joshua Lederberg create the first "expert system," programmed to replicate human expert thinking. (Source: web_search_results)

  1965

• Joseph Weizenbaum creates ELIZA, the first "chatterbot" using natural language processing. (Source: web_search_results)

  1966

• Alexey Ivakhnenko publishes "Group Method of Data Handling," proposing an approach that would later become Deep Learning. (Source: web_search_results)

  1968

• Stanley Kubrick acquires the rights to Brian Aldiss's short story "Supertoys Last All Summer Long" for a film project that would become "A.I. Artificial Intelligence." (Source: wikipedia)

  1970s

• Stanley Kubrick passes the "A.I." film project to Steven Spielberg. (Source: wikipedia)

  1995

• Stanley Kubrick dies, leading to renewed momentum for the "A.I." film project under Steven Spielberg. (Source: wikipedia)

  1999

• The film "A.I. Artificial Intelligence," directed by Steven Spielberg, is released, grossing $235.9 million worldwide. (Source: summary, wikipedia)

  2001-06-29

• Mark Cuban emphasizes that the U.S. must lead in AI, with large tech companies like Google and Microsoft being essential for competing with entities like OpenAI. (Source: related_documents)

  Present

A.I. Artificial Intelligence

A.I. Artificial Intelligence (or simply A.I.) is a 2001 American science fiction drama film directed by Steven Spielberg. The screenplay by Spielberg and screen story by Ian Watson are loosely based on the 1969 short story "Supertoys Last All Summer Long" by Brian Aldiss. Set in a futuristic society, the film stars Haley Joel Osment as David, a childlike android uniquely programmed with the ability to love. Jude Law, Frances O'Connor, Brendan Gleeson and William Hurt star in supporting roles. Development of A.I. originally began after producer and director Stanley Kubrick acquired the rights to Aldiss's story in the early 1970s. Kubrick hired a series of writers, including Aldiss, Bob Shaw, Ian Watson and Sara Maitland, until the mid-1990s. The film languished in development hell for years, partly because Kubrick felt that computer-generated imagery was not advanced enough to create the David character, which he believed no child actor would convincingly portray. In 1995, Kubrick handed A.I. to Spielberg, but the film did not gain momentum until Kubrick died in 1999. Spielberg remained close to Watson's treatment for the screenplay and dedicated the film to Kubrick. A.I. Artificial Intelligence was released on June 29, 2001, by Warner Bros. Pictures in North America. It received generally positive reviews from critics and grossed $235.9 million against a budget of $90–100 million. It was also nominated for Best Visual Effects and Best Original Score (for John Williams) at the 74th Academy Awards. In a 2016 BBC poll of 177 critics around the world, A.I. Artificial Intelligence was voted the eighty-third greatest film since 2000. It has since been called one of Spielberg's best works and one of the greatest films of the 21st century, and of all time.

Web Search Results

• Applications of artificial intelligence (AI)

  Applications of artificial intelligence (AI) | Google Cloud **New customers get up to $300 in free credits**to try Vertex AI and other Google Cloud products. Related Google Cloud products and services Google Cloud offers a variety of products and services that can help you build and deploy AI applications. Image 4: Google Cloud * Gemini for Google Cloud AI assistants for application development, coding, and more. * Generative AI on Google Cloud Transform content creation and discovery, research, customer service, and developer efficiency with the power of generative AI. * Google Cloud Databases Database services to migrate, manage, and modernize data. Image 54: Google Cloud * Why Google Cloud * Generative AI on Google Cloud

• What Is Artificial Intelligence (AI)?

  Directly underneath AI, we have machine learning, which involves creating models by training an algorithm to make predictions or decisions based on data. Generative AI, sometimes called "gen AI"_,_ refers to deep learning models that can create complex original content such as long-form text, high-quality images, realistic video or audio and more in response to a user’s prompt or request. Gen AI models focus on creating content based on learned patterns; agents use that content to interact with each other and other tools to make decisions, solve problems and complete tasks. With these new generative AI practices, deep-learning models can be pretrained on large amounts of data. Train, validate, tune and deploy generative AI, foundation models and machine learning capabilities with IBM watsonx.ai, a next-generation enterprise studio for AI builders.

• What is the history of artificial intelligence (AI)? - Tableau

  * **1958:** John McCarthy created LISP (acronym for List Processing), the first programming language for AI research, which is still in popular use to this day. * **1965:** Edward Feigenbaum and Joshua Lederberg created the first “expert system” which was a form of AI programmed to replicate the thinking and decision-making abilities of human experts. * **1966:** Joseph Weizenbaum created the first “chatterbot” (later shortened to chatbot), ELIZA, a mock psychotherapist, that used natural language processing (NLP) to converse with humans.1968: Soviet mathematician Alexey Ivakhnenko published “Group Method of Data Handling” in the journal “Avtomatika,” which proposed a new approach to AI that would later become what we now know as “Deep Learning.” Learn how Tableau equips customers with the best possible data using AI analytics.

• What Is Artificial Intelligence (AI)?

  | Google Cloud On an operational level for business use, AI is a set of technologies that are based primarily on machine learning and deep learning, used for data analytics, predictions and forecasting, object categorization, natural language processing, recommendations, intelligent data retrieval, and more. Google offers a number of sophisticated artificial intelligence products, solutions, and applications on a trusted cloud platform that enables businesses to easily build and implement AI algorithms and models. * Image 2: Cloud Explore all AI products and solutions Innovative AI and machine learning products, solutions, and services powered by Google’s research and technology. Image 7: Google Cloud Image 57: Google Cloud * Why Google Cloud * Data Cloud * Generative AI on Google Cloud

• History of artificial intelligence - Wikipedia

  * McCarthy J "John McCarthy (computer scientist)"), Minsky M, Rochester N "Nathaniel Rochester (computer scientist)"), Shannon C (31 August 1955), _A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence_, archived from the original on 30 September 2008, retrieved 16 October 2008 * McCarthy J "John McCarthy (computer scientist)"), Hayes PJ (1969), "Some philosophical problems from the standpoint of artificial intelligence", in Meltzer BJ "Bernard Meltzer (computer scientist)"), Mitchie D (eds.), _Machine Intelligence 4_, Edinburgh University Press, pp.463–502, retrieved 16 October 2008 * NRC (1999), "Developments in Artificial Intelligence", _Funding a Revolution: Government Support for Computing Research_, National Academy Press, ISBN "ISBN (identifier)")978-0-309-06278-7, OCLC "OCLC (identifier)")246584055