Real World Applications of AI versus Machine Learning
AI and machine learning are two of the primary technologies used to change the world. The underlying technology behind them is similar, but they have some key distinctions that differentiate them from each other. AI is a wide umbrella that refers to a range of computer programming techniques that enables machines to perform some tasks that humans normally would. Machine learning differs from AI in that it is focused solely on data and utilizes algorithms to improve performance. AI has been utilized in a variety of industries, from healthcare to finance, while machine learning has unique applications that are distinct from AI. Here is an overview of the practical applications of AI versus machine learning.
Image Recognition
Image recognition is one of the most widely used applications of AI and machine learning. It allows machines to process images and recognize objects and features in them. Machine learning algorithms such as convolutional neural networks are used for this purpose. AI-based image recognition can be used for facial recognition, surveillance, security, and more. On the other hand, machine learning can be used to detect abnormalities in images such as tumors, as well as other medical applications.
Speech Recognition
Speech recognition is the process of interpreting human speech and converting it into text. AI-based speech recognition is used in devices such as Siri, Alexa, and Google Assistant to interpret user commands. Speech recognition algorithms have become increasingly accurate over time thanks to improvements in natural language processing. Machine learning algorithms such as recurrent neural networks and decision trees are used to process user commands and analyze them. Speech recognition is used in a variety of applications from customer service to autonomous vehicles.
Natural Language Processing
Natural language processing (NLP) refers to the artificial intelligence (AI) technique of interpreting and understanding human language. It is a subfield of computer science that involves the design of software programs that recognize and produce human language. AI-based NLP algorithms are used in applications such as automated customer service bots, language translation, document analysis, and social media analytics. Machine learning algorithms, such as supervised learning algorithms, are also used for natural language processing.
Robotics
Robotics is the science of designing and building robots that can carry out automated tasks. AI-based robotics are used in a variety of industries from manufacturing to healthcare. In healthcare, robots are used for tasks such as surgery, while in manufacturing robots are used for tasks such as assembling products. Machine learning algorithms, such as reinforcement learning, are used to control robots and enable them to learn from their environment. AI-based robotics are also used in autonomous vehicles which are able to navigate complex environments and make decisions based on inputs from sensors and cameras.
Summary
AI and machine learning are two technologies that have revolutionized the world and are being increasingly used in a variety of industries. AI is an umbrella term that refers to a range of techniques that enable machines to perform tasks that would normally be done by humans. Machine learning is focused solely on data and utilizes algorithms to improve performance. AI and machine learning have been used for tasks such as image recognition, speech recognition, natural language processing, and robotics. AI-based applications are used in a variety of industries such as healthcare, finance, and manufacturing, while machine learning has unique applications that are distinct from AI.