Reference:
Ongsulee, P., 2017, November. Artificial intelligence, machine learning and deep learning. In 2017 15th international conference on ICT and knowledge engineering (ICT&KE) (pp. 1-6). IEEE.
This abstract emphasizes how artificial intelligence (AI) is being increasingly recognized as a significant technical achievement, comparable to the impact that mobile devices had when they were first launched. According to the paragraph, the vast volumes of data produced by devices, sensors, and social media users are why AI is becoming more and more important.
With such enormous data sets at their disposal, AI-powered machines may learn to recognize patterns in the data and anticipate outcomes with some degree of accuracy. Machine learning, a branch of research, enables this capacity to learn from data. Creating algorithms and models for machine learning enables computers to learn from data without explicit programming.
Deep learning, a particular machine learning approach, is also mentioned in the line. Major IT businesses have adopted deep learning extensively and it has attracted a lot of interest. Deep learning uses multi-layered artificial neural networks that have been trained to evaluate complicated patterns and draw insightful conclusions from data.
Overall, the paragraph suggests that AI, particularly through machine learning and deep learning methodologies, has become increasingly important due to the vast amount of data available and its potential to make accurate predictions and gain valuable insights.
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