Artificial Intelligence vs. Machine Learning - Which is More Advanced?
Artificial Intelligence and Machine Learning, two buzzwords that are often used interchangeably but are not the same thing. Although they are related, they have some fundamental differences that set them apart. In this blog, we will compare Artificial Intelligence and Machine Learning and determine which one is more advanced in the Industrial Automation sector.
What is Artificial Intelligence?
Artificial Intelligence refers to a broad set of computer technologies that can perform tasks that typically require human intelligence, such as perception, reasoning, learning, and decision-making. It is generally divided into two categories: narrow or weak AI, and general or strong AI. Narrow AI is designed to perform a specific task, while general AI can perform any intellectual task that a human can.
AI has been used in Industrial Automation to improve productivity, efficiency, and quality by automating decision-making in complex industrial processes. For example, AI algorithms can identify patterns and anomalies in data to predict failures or optimize production processes.
What is Machine Learning?
Machine Learning is a subset of AI that involves giving computers the ability to learn from data and make predictions without being explicitly programmed. It is achieved by creating algorithms that can constantly analyze and learn from data, making predictions and decisions based on that analysis.
Machine Learning has become increasingly popular in Industrial Automation, where it is used for process optimization, predictive maintenance, and manufacturing quality control. For example, ML algorithms can analyze historical data from sensors and machines to detect patterns and predict equipment failures before they occur.
AI vs. ML: What's the difference?
Although AI and ML are related, they are not the same thing. AI is a broad field that encompasses many technologies, including ML. ML is a subset of AI that involves teaching computers to learn from data, as opposed to being explicitly programmed.
The main difference between the two is that AI can perform any intellectual task that humans can, while ML is limited to tasks that involve pattern recognition and prediction based on data analysis.
Which is More Advanced in Industrial Automation?
So, which one is more advanced in Industrial Automation, AI or ML? The truth is that they are both equally advanced, but they are used in different ways. While AI is used for complex decision-making in real-time, ML is used for analyzing historical data to make predictions and optimize processes.
In summary, AI and ML are both advanced technologies that are used in Industrial Automation to improve productivity, efficiency, and quality. AI is used for real-time decision-making, while ML is used for predictive analysis based on historical data.
References
- Jain, Piyush & Jain, Shilpa. (2021). Artificial Intelligence v/s Machine Learning v/s Deep Learning.
- O'Connell, N. (2019). What's the Difference Between AI and Machine Learning?. Forbes.
- How Machine Learning Is Impacting Industrial Automation (2021). IoT For All.