Applications of artificial intelligence
Artificial intelligence (AI) has been used in applications throughout industry and academia. Similar to electricity or computers, AI serves as a general-purpose technology that has numerous applications. Its applications span language translation, image recognition, decision-making,[1] credit scoring, e-commerce and various other domains. AI which accommodates such technologies as machines being equipped perceive, understand, act and learning a scientific discipline.[2]
Cyber security companies are adopting neural networks, machine learning, and natural language processing to improve their systems.[62]
Applications of AI in cyber security include:
Google fraud czar Shuman Ghosemajumder has said that AI will be used to completely automate most cyber security operations over time.[67]
Other fields of research[edit]
Evidence of general impacts[edit]
In April 2024, the Scientific Advice Mechanism to the European Commission published advice[208] including a comprehensive evidence review of the opportunities and challenges posed by artificial intelligence in scientific research.
As benefits, the evidence review[209] highlighted:
Utilities[edit]
Energy system[edit]
Power electronics converters are used in renewable energy, energy storage, electric vehicles and high-voltage direct current transmission. These converters are failure-prone, which can interrupt service and require costly maintenance or catastrophic consequences in mission critical applications. AI can guide the design process for reliable power electronics converters, by calculating exact design parameters that ensure the required lifetime.[319]
Machine learning can be used for energy consumption prediction and scheduling, e.g. to help with renewable energy intermittency management (see also: smart grid and climate change mitigation in the power grid).[320][321][322][323]
Telecommunications[edit]
Many telecommunications companies make use of heuristic search to manage their workforces. For example, BT Group deployed heuristic search[324] in an application that schedules 20,000 engineers. Machine learning is also used for speech recognition (SR), including of voice-controlled devices, and SR-related transcription, including of videos.[325][326]