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Introduction Undressing AI
Artificial Intelligence (AI) has developed from a relatively obscure corner of academia into an all-encompassing hybrid with nearly every facet of contemporary existence. AI is being increasingly noticed from virtual assistants like Siri and Alexa to self-driven cars, its reshaping industries while also helping enhance productivity or making people influence on the way technology works. But what is AI and where is it headed?
What is AI? Undressing AI
Briefly, AI is the capability of a machine to mimic intelligent human behaviour and to be programmed to think, learn and solve problems. AI includes machine learning (ML), natural language processing (NLP), robotics, and computer vision – specialties that concentrate on different types of intelligence and automation.
ML is a subset of AI that allows machines to learn from data and adapt over time with minimal human intervention. Practically, it means the AI identifies patterns and makes predictions to perform tasks based on past experience.
Natural Language Processing (NLP): NLP is the field that enables machines to interpret and produce human language so you can take advantage of it in chatbots, speech recognition applications, and language translation.
Image recognition: This enables AI to visually process the world around it, identifying and locating objects and other important information from a photograph, as would be applicable in reading or diagnosing through an image.
Example: An area of using AI that brings several technologies together for the production of machine systems, robotics helps in creating machines which can perform tasks that typically requires human dexterity or decision-making such as assembling products or exploring out space.
The Impact of AI on Society
The impact of AI is very diverse in its features as well as positive and negative aspects.
Positive Impacts:
Photo Credit: BigStock Also, Read — 5 Amazing Artificial Intelligence Applications Shaping Our Future This report from India Today covers the overall artificial intelligence adoption in healthcare considering multiple dimensions including radiology, telemedicine, voice recognition based symptom evaluation and robotic surgery. AI algorithms, for instance, can analyze medical imaging to identify diseases such as cancer—frequently at earlier