Artificial Intelligence what it is ?
Ramanpreet Singh Dandona (PMP?)
AVP | Business Analyst|Product Manager|Passionate Innovator |Data Science Enthusiast|RPA
In computer science artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind such as "learning" and "problem solving".
As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech,competing at the highest level in strategic game systems (such as chess and Go),autonomously operating cars, intelligent routing in content delivery networks, and military simulations.
Artificial Intelligence can be classified into 3 different types of systems
- Analytical -has only characteristics consistent with cognitive intelligence; generating a cognitive representation of the world and using learning based on past experience to inform future decisions. - Examples : A prime example of this is Machine learning and may include real life examples such as face and image detection systems, autonomous vehicles, fraud detection, and intelligent assistance, among others.
- Human-inspired-has elements from cognitive and emotional intelligence; understanding human emotions, in addition to cognitive elements, and considering them in their decision making.-Examples -One application of a human-inspired AI centers on assessing human emotion for customer service, as well as recruitment and assessment purposes. The system would include facial recognition or voice analysis mechanisms to look for cues such as facial expressions or patterns in intonations to determine emotions.
- Humanized artificial intelligence-shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions. Examples - Some of the imagined examples of a humanized AI system include virtual agents dealing with customer concerns or inquiries, computer-powered autonomous teachers and moderators, and systems for psychologically training individuals.