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AI was coined by John McCarthy, an American computer scientist, in 1956 at The Dartmouth Conference where the discipline was born. Today, it is an umbrella term that encompasses everything from robotic process automation to actual robotics. It has gained prominence recently due, in part, to, or the increase in speed, size and variety of data businesses are now collecting. AI can perform tasks such as identifying patterns in the data more efficiently than humans, enabling businesses to gain more insight out of their. Types of artificial intelligence AI can be categorized in any number of ways, but here are two examples.

The first classifies AI systems as either weak AI or strong AI., also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple's Siri, are a form of weak AI., also known as artificial general intelligence, is an AI system with generalized human cognitive abilities so that when presented with an unfamiliar task, it has enough intelligence to find a solution. The, developed by mathematician Alan Turing in 1950, is a method used to determine if a computer can actually think like a human, although the method is controversial. The second example is from Arend Hintze, an assistant professor of integrative biology and computer science and engineering at Michigan State University.

He categorizes AI into four types, from the kind of AI systems that exist today to sentient systems, which do not yet exist. His categories are as follows.

• Type 1: Reactive machines. An example is Deep Blue, the chess program that beat Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chess board and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves -- its own and its opponent -- and chooses the most strategic move.

Deep Blue and Google's AlphaGO were designed for narrow purposes and cannot easily be applied to another situation. • Type 2: Limited memory. These AI systems can use past experiences to inform future decisions. Some of the decision-making functions in autonomous vehicles have been designed this way.

Observations used to inform actions happening in the not-so-distant future, such as a car that has changed lanes. These observations are not stored permanently. • Type 3: Theory of mind.

This is a psychology term. It refers to the understanding that others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist. • Type 4: Self-awareness. Modern Problems In Classical Electrodynamics Djvu Viewer. In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist.

Examples of AI technology • Automation is the process of making a system or process function automatically. Rap Drum Kits Free Download. , for example, can be programmed to perform high-volume, repeatable tasks normally performed by humans. RPA is different from IT automation in that it can adapt to changing circumstances. • is the science of getting a computer to act without programming. Is a subset of machine learning that, in very simple terms, can be thought of as the automation of predictive analytics. There are three types of machine learning algorithms:, in which data sets are labeled so that patterns can be detected and used to label new data sets;, in which data sets aren't labeled and are sorted according to similarities or differences; and reinforcement learning, in which data sets aren't labeled but, after performing an action or several actions, the AI system is given feedback. • is the science of making computers see.