As technology is evolving, terms like Machine Learning and Artificial Intelligence are often used interchangeably. Though they have certain similarities, they do not mean the same thing. Below, we will look into the nuances of both and how they differ from each other.
Before moving on to their differences, let us first understand what purpose both of them serve.
Definition of Artificial Intelligence
Artificial Intelligence or AI refers to an extensive field of computer science that creates systems or machines that can imitate human intelligence and perform certain jobs that are usually done by the former. These tasks consist of decision-making and problem-solving to identify patterns and learn natural language. Hence, AI works by creating machines that perform tasks like humans.
Definition of Machine Learning
Machine Learning is a subset of AI. It focuses on the development of statistical models and algorithms that enable computers to adapt and solve various problems without being programmed explicitly. Machine Learning is therefore a way to achieve Artificial Intelligence. It is the process by which machines are taught to learn data and make decisions and predictions based on the data.
Key differences of Artificial Intelligence vs. Machine Learning
Keeping in mind the latest technological developments, let us first look into the differences between Artificial intelligence and Machine Learning.
- Scope
Artificial Intelligence: It has a wide spectrum of capabilities, including robotics, natural language learning, and problem-solving.
Machine Learning: ML deals with algorithm developments for certain tasks, such as speech recognition, image recognition, and some recommendation systems.
- Simulation of Human Intelligence
Artificial Intelligence: It imitates human intelligence in unique ways, which can include understanding context and reasoning.
Machine Learning: Though machine learning contributes to the development of an AI, it is more concerned with data-driven decision-making and recognition of patterns.
- Learning Capability
Artificial Intelligence: AI systems might or might not learn from some data. Some AI systems, like certain rule-based expert systems, rely on predefined knowledge and rules.
Machine Learning: It learns data thoroughly and enables good performance by predicting and recognizing patterns based on data.
- Adaptability
Artificial Intelligence: AI systems can learn from data or be rule-based, making them adaptable to different kinds of tasks, but requiring a substantial amount of manual programming.
Machine Learning: Models of machine learning are adaptable to certain tasks after they get trained on relevant data, increasing their versatility in some applications.
- Intervention of humans
Artificial Intelligence: Artificial Intelligence may need frequent interventions of humans for adapting to some circumstances and updating rules.
Machine Learning: Once they receive the necessary training, AI systems can make decisions and predictions in an autonomous manner without the interference of humans.
- Examples
Artificial Intelligence: Artificial Intelligence is present in virtual assistants such as Alexa or Siri, and some chess-playing computers.
Machine Learning: Recommended algorithms form a part of machine learning, fraud detection systems in banks, and smartphone facial recognition features.
Advantages of Artificial Intelligence and Machine Learning
Some of the benefits of Machine Learning and Artificial Intelligence are as follows.
- Artificial Intelligence and Machine Learning can transform repetitive and mundane tasks into automated ones. This can enable humans to focus on more complex and creative responsibilities.
- As tasks become automated, employees can increase their efficiency and productivity levels, which in turn can help to improve customer service and management supply chain.
- Machine Learning fastens the research process by analyzing a number of data assets and recognizing potential breakthroughs in a number of scientific fields.
- Artificial Intelligence helps generate content, art, and music, making it an indispensable tool for a lot of creative industries.
Connection between Artificial Intelligence and Machine Learning
While Machine Learning and Artificial Intelligence are considered to be two distinct concepts, they are connected intrinsically with each other. Artificial Intelligence has the power of making machines that imitate human intelligence. On the other hand, machine learning helps people achieve their goals by adapting and learning from data.
Both, in their own ways, have had a significant impact on different industries including transportation, entertainment, finance, and healthcare services. With further advancements in technology, it might happen that Artificial Intelligence and Machine Learning operate as a single unit, obliterating their differences. In the end, it’s a matter of how these two complement each other and enhance the ways machines and technology continually improve our lives.
