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top 10 AI technologies to watch in 2023, according to Analytics Insight:
- Natural language processing (NLP): This is the ability of computers to understand and process human language. NLP is used in a variety of applications, such as chatbots, machine translation, and sentiment analysis.Natural language processing (NLP) AI technology
- Computer vision: This is the ability of computers to see and understand the world around them. Computer vision is used in a variety of applications, such as self-driving cars, facial recognition, and image search.Computer vision AI technology
- Machine learning: This is the ability of computers to learn from data and improve their performance over time. Machine learning is used in a variety of applications, such as fraud detection, spam filtering, and personalized recommendations.Machine learning AI technology
- Deep learning: This is a subset of machine learning that uses artificial neural networks to learn from data. Deep learning is used in a variety of applications, such as image recognition, natural language processing, and speech recognition.Deep learning AI technology
- Robotics: This is the field of engineering that deals with the design, construction, operation, and application of robots. Robotics is used in a variety of applications, such as manufacturing, healthcare, and customer service.Robotics AI technology
- Blockchain: This is a distributed ledger technology that allows for secure and transparent transactions. Blockchain is used in a variety of applications, such as cryptocurrency, supply chain management, and voting.Blockchain AI technology
- Quantum computing: This is a type of computing that uses quantum mechanics to perform calculations. Quantum computing is still in its early stages, but it has the potential to revolutionize a variety of industries, such as healthcare, finance, and materials science.Quantum computing AI technology
- Generative AI: This is a type of AI that can create new content, such as images, text, and music. Generative AI is used in a variety of applications, such as art, entertainment, and marketing.Generative AI AI technology
- Decision intelligence: This is a field of AI that focuses on helping businesses make better decisions. Decision intelligence uses a variety of AI techniques, such as machine learning, natural language processing, and statistics, to help businesses collect, analyze, and understand data.Decision intelligence AI technology
These are just a few of the many AI technologies that are expected to have a significant impact in 2023. As AI continues to evolve, we can expect to see even more innovative and groundbreaking applications of this powerful technology.
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