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Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...
The economists Harry Dexter White (left) and John Maynard Keynes (right) at the Bretton Woods Conference in New Hampshire [27]. The WTO precursor, General Agreement on Tariffs and Trade (GATT), was established by a multilateral treaty of 23 countries in 1947 after the end of World War II, in the wake of other new multilateral institutions dedicated to international economic cooperation—such ...
The companies’ results and Wall Street’s reaction brought the two sides of the AI trade into stark relief as traders showed their disappointment in Microsoft’s AI software sales and ...
The OECD AI Principles [58] were adopted in May 2019, and the G20 AI Principles in June 2019. [55] [59] [60] In September 2019 the World Economic Forum issued ten 'AI Government Procurement Guidelines'. [61] In February 2020, the European Union published its draft strategy paper for promoting and regulating AI. [34]
[2] [3] Researchers have argued that the carbon footprint of AI models during training should be considered when attempting to understand the impact of AI. [4] One study suggested that by 2027, energy costs for AI could increase to 85–134 Twh, nearly 0.5% of all current electricity usage.
An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, [23] while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.
X.AI Corp., [4] [5] doing business as xAI, is an American startup company working in the area of artificial intelligence (AI). Founded by Elon Musk in March 2023, its stated goal is "to understand the true nature of the universe".
AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]