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In the field of artificial intelligence (AI) design, AI capability control proposals, also referred to as AI confinement, aim to increase our ability to monitor and control the behavior of AI systems, including proposed artificial general intelligences (AGIs), in order to reduce the danger they might pose if misaligned.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.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. [1]
Google CEO Sundar Pichai said in his speech that while the rise of AI brings many risks, "The biggest risk is missing out". [19] He discussed Google's long track record of AI research and said that the company is investing further into "deep research" agents that can autonomously search the Internet and compile a full analysis for users. [19]
Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
The Pan-Canadian Artificial Intelligence Strategy (2017) is supported by federal funding of Can $125 million with the objectives of increasing the number of outstanding AI researchers and skilled graduates in Canada, establishing nodes of scientific excellence at the three major AI centres, developing 'global thought leadership' on the economic ...
Announcement of Google Duplex, a service to allow an AI assistant to book appointments over the phone. The Los Angeles Times judges the AI's voice to be a "nearly flawless" imitation of human-sounding speech. [133] 2019 DeepMind's AlphaStar reaches Grandmaster level at StarCraft II, outperforming 99.8 percent of human players. [134]
Artificial narrow intelligence – AI capable only of specific tasks; Artificial general intelligence – AI with ability in several areas, and able to autonomously solve problems they were never even designed for; Artificial superintelligence – AI capable of general tasks, including scientific creativity, social skills, and general wisdom. [2]
The foundations for the Age of Artificial Intelligence were laid during the latter part of the 20th century and the early 2000s. Key developments included advancements in computer science, neural network models, data storage, the Internet, and optical networking, enabling rapid data transmission essential for AI progress.