Artificial Intelligence

Extracted Attributes

• Field

  Computer Science

• Applications

  Advanced web search engines (e.g., Google Search), Recommendation systems (YouTube, Amazon, Netflix), Virtual assistants (Google Assistant, Siri, Alexa), Autonomous vehicles (Waymo), Generative and creative tools (language models, AI art), Superhuman play and analysis in strategy games (chess, Go)

• Key Subfields

  Learning, Knowledge Representation, Natural Language Processing, Planning, Perception, Robotics Support

• US Policy Goal

  Ensure global AI competitiveness, win the global AI Race against China

• Ethical Concerns

  Unintended consequences, Potential harms, Content creation capabilities of generative AI

• Core Capabilities

  Learning, Reasoning, Problem-solving, Perception, Decision-making

• US Policy Pillars

  Infrastructure development, Export promotion, Rejection of 'Woke AI'

• US Policy Initiative

  AI Action Plan

• US Regulatory Approach

  Changes to Intellectual Property rules, Federal Preemption for AI

• US Infrastructure Focus

  Data Centers, Semiconductor Manufacturing

• US Energy Policy Support

  American Energy Dominance, Nuclear Energy

• Interdisciplinary Influences

  Mathematics, Statistics, Psychology, Linguistics, Philosophy, Neuroscience, Operations Research, Economics

Timeline

• Alan Turing described an abstract computing machine, a foundational concept for AI. (Source: Britannica)

  1935-XX-XX

• Artificial intelligence was founded as an academic discipline. (Source: Summary, Wikipedia)

  1956-XX-XX

• Period of rapid growth and creation in AI research, including the development of programming languages and the exploration of robots in popular culture. (Source: Tableau)

  1950s-1960s

• Significant increase in AI funding and interest due to the adoption of Graphics Processing Units (GPUs) for accelerating neural networks and advancements in deep learning. (Source: Summary, Wikipedia)

  2012-XX-XX

• Growth in AI accelerated further with the introduction of the transformer architecture. (Source: Summary, Wikipedia)

  2017-XX-XX

• Ongoing period of rapid progress in advanced generative AI, known as the 'AI boom'. (Source: Summary, Wikipedia)

  2020s-XX-XX

• The United States introduced an 'AI Action Plan' to ensure global AI competitiveness, championed by the Trump administration. (Source: Summary, Related Documents)

  XXXX-XX-XX

Artificial intelligence

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., language models and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore." Various subfields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include learning, reasoning, knowledge representation, planning, natural language processing, perception, and support for robotics. To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics. AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields. Some companies, such as OpenAI, Google DeepMind and Meta, aim to create artificial general intelligence (AGI)—AI that can complete virtually any cognitive task at least as well as a human. Artificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history, followed by periods of disappointment and loss of funding, known as AI winters. Funding and interest vastly increased after 2012 when graphics processing units started being used to accelerate neural networks and deep learning outperformed previous AI techniques. This growth accelerated further after 2017 with the transformer architecture. In the 2020s, an ongoing period of rapid progress in advanced generative AI became known as the AI boom. Generative AI's ability to create and modify content has led to several unintended consequences and harms, which has raised ethical concerns about AI's long-term effects and potential existential risks, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.

Web Search Results

• Artificial intelligence - Wikipedia

  Glossary v t e Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.( [...] Artificial intelligence was founded as an academic discipline in 1956,( and the field went through multiple cycles of optimism throughout its history,( followed by periods of disappointment and loss of funding, known as AI winters.( Funding and interest vastly increased after 2012 when graphics processing units started being used to accelerate neural networks and deep learning outperformed previous AI techniques.( This growth accelerated further after 2017 with the transformer architecture.( In [...] Wikimedia Commons Meta-Wiki Wikibooks Wikinews Wikiquote Wikiversity Wikidata item Image 4: Page semi-protected From Wikipedia, the free encyclopedia Intelligence of machines "AI" redirects here. For other uses, see AI (disambiguation) "AI (disambiguation)") and Artificial intelligence (disambiguation) "Artificial intelligence (disambiguation)"). Part of a series on Artificial intelligence (AI) Image 5_artificial_intelligence_icon.png) show Major goals

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

  Artificial intelligence is a specialty within computer science that is concerned with creating systems that can replicate human intelligence and problem-solving abilities. They do this by taking in a myriad of data, processing it, and learning from their past in order to streamline and improve in the future. A normal computer program would need human interference in order to fix bugs and improve processes. Learn more about AI. [...] The idea of “artificial intelligence” goes back thousands of years, to ancient philosophers considering questions of life and death. In ancient times, inventors made things called “automatons” which were mechanical and moved independently of human intervention. The word “automaton” comes from ancient Greek, and means “acting of one’s own will.” One of the earliest records of an automaton comes from 400 BCE and refers to a mechanical pigeon created by a friend of the philosopher Plato. Many [...] The time between when the phrase “artificial intelligence” was created, and the 1980s was a period of both rapid growth and struggle for AI research. The late 1950s through the 1960s was a time of creation. From programming languages that are still in use to this day to books and films that explored the idea of robots, AI became a mainstream idea quickly.

• What Is Artificial Intelligence (AI)? | Google Cloud

  What Is Artificial Intelligence (AI)? | Google Cloud =============== Page Contents Topics What is Artificial Intelligence? What is Artificial Intelligence (AI)? ===================================== Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, understand and translate spoken and written language, analyze data, make recommendations, and more. [...] AI can automate workflows and processes or work independently and autonomously from a human team. For example, AI can help automate aspects of cybersecurity by continuously monitoring and analyzing network traffic. Similarly, a smart factory may have dozens of different kinds of AI in use, such as robots using computer vision to navigate the factory floor or to inspect products for defects, create digital twins, or use real-time analytics to measure efficiency and output. [...] AI is the backbone of innovation in modern computing, unlocking value for individuals and businesses. For example, optical character recognition (OCR) uses AI to extract text and data from images and documents, turns unstructured content into business-ready structured data, and unlocks valuable insights. Ready to get started? New customers get $300 in free credits to spend on Google Cloud.

• What is Artificial Intelligence? - NASA

  An artificial system designed to think or act like a human, including cognitive architectures and neural networks. A set of techniques, including machine learning that is designed to approximate a cognitive task. An artificial system designed to act rationally, including an intelligent software agent or embodied robot that achieves goals using perception, planning, reasoning, learning, communicating, decision-making, and acting. [...] Any artificial system that performs tasks under varying and unpredictable circumstances without significant human oversight, or that can learn from experience and improve performance when exposed to data sets. An artificial system developed in computer software, physical hardware, or other context that solves tasks requiring human-like perception, cognition, planning, learning, communication, or physical action.

• History of artificial intelligence - Alan Turing - Britannica

  history of artificial intelligence (AI), a survey of important events and people in the field of artificial intelligence (AI) from the early work of British logician Alan Turing in the 1930s to advancements at the turn of the 21st century. AI is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of [...] The earliest substantial work in the field of artificial intelligence was done in the mid-20th century by the British logician and computer pioneer Alan Mathison Turing. In 1935 Turing described an abstract computing machine consisting of a limitless memory and a scanner that moves back and forth through the memory, symbol by symbol, reading what it finds and writing further symbols. The actions of the scanner are dictated by a program of instructions that also is stored in the memory in the [...] humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. For modern developments in AI, see artificial intelligence.

• Instance Of

  Q482994