History of Artificial Intelligence (AI) #1 . скачать в хорошем качестве

History of Artificial Intelligence (AI) #1 .

Foundational period (1940s-1960s) 1943: Warren McCulloch and Walter Pitts develop the first model of artificial neurons. 1950: Alan Turing publishes "Computing Machinery and Intelligence," introducing the Turing Test to measure machine intelligence. 1956: The term "Artificial Intelligence" is coined by John McCarthy at the Dartmouth workshop, considered the birth of AI as a field of study. 1950s-1960s: Early AI research focuses on symbolic reasoning and logic. Researchers like Allen Newell and Herbert Simon develop programs that mimic human problem-solving, such as the Logic Theorist. 1960s: John McCarthy develops the first AI programming language, LISP. Significant government funding starts to support AI labs and research. Development and expansion (1970s-2000s) 1970s-1980s: AI research continues to develop more complex systems, fueled by increased funding. 1997: IBM's Deep Blue defeats the world chess champion, Garry Kasparov, a major milestone. 2000: The "social robot" Kismet is developed at MIT, capable of recognizing and simulating human emotions. 2000s: Routine applications of AI become more common, and the field begins to expand into the public sphere. Modern era (2010s-Present) 2010s: The rise of machine learning and deep learning, enabled by advancements in computing power and specialized hardware like GPUs, leads to a surge in AI capabilities. Late 2010s: TensorFlow and other software libraries become widely used for training machine learning models. Present: AI is integrated into numerous applications, from virtual assistants and autonomous vehicles to creative tools. Government regulation of AI is also becoming a focus.