Narrow AI: Boundaries of modern AI – By Aditya Abeysinghe Narrow AI Narrow Artificial Intelligence (AI) is a type of AI which can handle only tasks that are assigned. These tasks need to be defined before they can be processed and narrow AI models cannot operate beyond the level of training. This constraint makes this type “weak” or narrow compared to strong types such as Artificial General Intelligence and Artificial Super Intelligence. Narrow AI is the mostly used AI type in commercial systems. Why it is narrow in AI? Narrow AI is designed to perform a task based on pre-defined models and inputs. Artificial General Intelligence-based models on the other hand can “think” and perform tasks on their own. However, the latter type requires AI which goes beyond how humans “think”. This type is still being researched and is not used in most commercial AI systems. Models which rely on training ...

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Theory of Mind: Are emotions needed for machines? By Aditya Abeysinghe Assessing the mental states of other humans is a task that humans have developed from late childhood. Emotions and social interactions are formed with understanding how others behave with a person. Theory of mind (ToM) describes this process of how mental states’ assessment affects the emotions humans make towards others. In my article on *Artificial General Intelligence, I described about how emotions are important for machines. For Artificial General Intelligence to be truly developed ToM is a key component. What is ToM? ToM in simple terms is the set of tasks the mind uses to think about the mental state of others. For example, assume that two people named James and Bred goes to a restaurant to have dinner. When James looks at the menu and tells that he will order some type of Noodles, Bred can infer that ...

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Artificial General Intelligence: The growth of robots? By Aditya Abeysinghe Artificial Intelligence (AI) is the type of intelligence that current machines possess. It is based on learning methods such as deep learning and natural language processing. Using these methods machines could imitate humans and automate processes. However, AI-based processes cannot think similarly as humans when faced with unknown scenarios. Therefore, Artificial General Intelligence (AGI) has been used where cognition and other deep AI methods have been added to current AI-based methods. What are the features? A feature of AGI is the autonomous nature of problem solving. For example, systems which use autonomy to handle tasks use problem solving and creativity skills of AGI. Autonomous robots in vehicles and manufacturing plants are fine examples for such AGI-based autonomous systems. Techniques such as semi-supervised learning are used to experiment with data and unknown cases. Another feature that can be expected from AGI ...

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