… Recent developments in artificialintelligence (AI), especially MachineLearning (ML) have … materials engineering to achieve desired material property in process modeling and control. …
… The new digitalization model is powered by the artificialintelligence (AI) technology. The integration of energy supply, demand, and renewable sources into the power grid will be …
… Planning is a subfield of AI concerned with enabling intelligent systems to achieve desired … of time and resources necessary to achieve the desired goals based on the total available …
… the desired and current status of artificialintelligence including the definition of ’intelligence’ and … of methods from artificialintelligence in relation to machinelearning and statistics. The …
… If it can also learn to recognize faces, diagnose medical conditions, and compose music in the style of Bach, I believe we would agree that it’s artificiallyintelligent (there are individual …
TH Davenport, R Ronanki - Harvard business review, 2018 - blockqai.com
… surrounding artificialintelligence … , intelligent agents, and machinelearning were the least common type in our study (accounting for 16% of the total). This category includes: • intelligent …
… Artificialintelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in …
J McCarthy, PJ Hayes - Readings in artificial intelligence, 1981 - Elsevier
… with this decomposition also have a preferred status. In our opinion, this explains some of … , has an objective preferred status. However, the preferred status of this model depends on its …
… The work in artificialintelligence is advancing on two fronts. New systems of the first class, many of which are already deployed, learn from experience. But unlike humans, who are …