The Touchpad AI Series is written keeping in mind about the future and scope that lies in the AI. The knowledge is spread in a phased manner so that kid of all age finds it easy to understand the theory.
Artificial Intelligence (AI) has already stepped into our lives. It makes a machine capable of learning from experience, understanding new inputs and performing tasks more like humans. Speech recognition, decision making and visual perception are some areas where AI is doing wonders. Minimizing human error is one of the advantages of using AI over human intelligence. There are some geographical areas where humans cannot operate. In such scenarios, AI can be very helpful. The speed at which AI system works on huge data is better than humans.
Artificial Narrow Intelligence (ANI) has a limited/narrow range of abilities. It is most dedicated to performing only one task. It is also called Weak AI or Narrow AI as it operates under limited capabilities. It is goal oriented and focussed to do a single task. Consider Siri—virtual assistant on an iPhone—it uses speech and language recognition techniques to set an alarm, or send an SMS to a contact on your phone. Narrow AI uses Natural Language Processing (NLP) to perform. Examples of Weak AI or Narrow AI are as follows:
• Image/facial recognition software • Apple Siri, Amazon Alexa, Microsoft Cortana and other virtual assistants operate on limited functions. • IBM’s Watson • Vision recognition of self-driving cars • Recommendations of e-commerce sites
Although AI is still evolving but the AI machines are expected to perform the following tasks:
• Generalised Learning: This model of AI is capable of drawing conclusions from the existing data and producing new results based on the new data. • Reasoning: This model of AI can make decisions based on some rules and give proper results in some really difficult situations. • Problem Solving: This model of AI is specifically built to handle problematic situations and figure out the most efficient path to handle the situation. • Adaptability: This model of AI is designed to adapt to the conditions it is put in and draw conclusions based on these data. • Perception: This model of AI is usually found in robots. They are designed to perceive the environment around them and gather data for a higher cause. • Computer Vision: This model of AI can analyse and understand images just like human beings. • Speech: This model of AI can interpret speech and convert text to speech. • Natural Language Understanding: This model of AI is designed to accept and comprehend data in the form of speech or text and provide results in human understandable form. • Logical Symbol Manipulation: This model of AI is proficient in interpreting symbols and provides results based on these symbols. Symbols here, refer to the signs that are used to describe data. • Robot Control: This model of AI specialises in controlling robots and such machines.
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