Technology

The Top 5 Most Recent Advances in Artificial Intelligence 

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Written by Prachi Subhedar

According to a report by Gartner, the adoption of AI by organizations worldwide grew from 4% in 2018 to 15% in 2019. This rapid adoption is driven by the increasing availability of data and the development of more advanced AI technologies.

Artificial intelligence (AI) refers to the ability of machines to perform tasks that normally require human intelligence, such as visual perception, language understanding, decision-making, and problem-solving. AI has a wide range of applications in various industries, including healthcare, finance, transportation, education, and retail. 

AI has the potential to improve our lives in many ways, but it also raises ethical concerns. As AI becomes more advanced and prevalent, it is important to carefully consider its impact on society and ensure that it is developed and used ethically. 

According to a report by Gartner, the adoption of AI by organizations worldwide grew from 4% in 2018 to 15% in 2019. This rapid adoption is driven by the increasing availability of data and the development of more advanced AI technologies. The use of AI is expected to continue to grow in the coming years as more and more organizations adopt it to improve efficiency, reduce costs, and gain a competitive advantage. Let us discuss the five latest artificial intelligence technologies. 

1. Virtual Agents  

Yes, virtual agents, also known as chatbots or conversational agents, have become valuable tools for instructional designers and customer service teams. Virtual agents are computer applications designed to interact with humans through natural language communication, either through text or voice input. 

Virtual agents can be used in various ways, such as providing customer service through chat or voice assistants, helping to organize meetings and schedule appointments, assisting with online shopping, and providing language translation services. 

Virtual agents can be integrated into web and mobile applications and are often used to provide 24/7 customer support. 

2. Decision Management  

Decision management systems are designed to support organizations in making better and more informed decisions by automating the processes of data analysis and decision-making. These systems typically use predictive modeling techniques to analyze data and provide insights that can be used to support decision-making. 

Decision management systems are used in a variety of industries, including finance, healthcare, trading, insurance, and e-commerce. Decision management systems can help organizations make quick and informed decisions, avoid risks, and automate decision-making processes. They can also help organizations better understand their data. 

3. Peer-to-Peer Network  

Yes, peer-to-peer (P2P) networks are a type of computer network in which each computer, or node, can act as both a client and a server. In a P2P network, no central server controls the flow of data; instead, data is shared directly between nodes. P2P networks can be used for a variety of purposes, including sharing files, distributing content, and enabling communication between nodes. 

One of the main advantages of P2P networks is that they can be highly scalable, as new nodes can be easily added to the network without the need for a central server to manage the flow of data. 

4. Speech Reorganization  

Another significant branch of artificial intelligence is voice recognition, which transforms spoken language into a form that computers can use and comprehend. The bridge between human and computer interactions is speech recognition. Technology can translate and recognize human speech in a variety of languages. A well-known example of speech recognition is Siri on the iPhone. 

5. Natural Language Generation 

Machines transmit and interpret information differently than the human brain. A popular method called “natural language generation” transforms structured data into the user’s native tongue. Algorithms are programmed into the machines to transform the data into a format that the user will find appealing. A subset of artificial intelligence called natural language processing assists content creators in automating content and delivering it in the desired format. 

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