What AI is used today?

Artificial Intelligence Examples

• Manufacturing robots.
• Self-driving cars.
• Smart assistants.
• Healthcare management.
• Automated financial investing.
• Virtual travel booking agent.
• Social media monitoring.
• Marketing chatbots.

Types of artificial intelligence

 Types of artificial intelligence

Artificial intelligence can be organized in several ways, depending on stages of development or actions being performed. 

For instance, four stages of AI development are commonly recognized.

Reactive machines: Limited AI that only reacts to different kinds of stimuli based on preprogrammed rules. Does not use memory and thus cannot learn with new data. IBM’s Deep Blue that beat chess champion Garry Kasparov in 1997 was an example of a reactive machine.

Limited memory: Most modern AI is considered to be limited memory. It can use memory to improve over time by being trained with new data, typically through an artificial neural network or other training model. Deep learning, a subset of machine learning, is considered limited memory artificial intelligence.

Theory of mind: Theory of mind AI does not currently exist, but research is ongoing into its possibilities. It describes AI that can emulate the human mind and has decision-making capabilities equal to that of a human, including recognizing and remembering emotions and reacting in social situations as a human would. 

Self aware: A step above theory of mind AI, self-aware AI describes a mythical machine that is aware of its own existence and has the intellectual and emotional capabilities of a human. Like theory of mind AI, self-aware AI does not currently exist.

A more useful way of broadly categorizing types of artificial intelligence is by what the machine can do. All of what we currently call artificial intelligence is considered artificial “narrow” intelligence, in that it can perform only narrow sets of actions based on its programming and training. For instance, an AI algorithm that is used for object classification won’t be able to perform natural language processing. Google Search is a form of narrow AI, as is predictive analytics, or virtual assistants.

Artificial general intelligence  would be the ability for a machine to sense, think, and act just like a human. AGI does not currently exist. The next level would be artificial superintelligence, in which the machine would be able to function in all ways superior to a human. 

Artificial Intelligence

Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use

learning and intelligence to take actions that maximize their chances of achieving defined goals Such machines may be called AIs.

High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools

(e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go). However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something

becomes useful enough and common enough it's not labeled AI anymore."

Various subfields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.General

intelligence the ability to complete any task performed by a human on an at least equal level is among the field's long-term goals.To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization,

formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.

Artificial intelligence was founded as an academic discipline in 1956, and the field went through multiple cycles of optimism throughout its history,followed by periods of disappointment and loss of funding, known as AI winters.Funding and interest vastly increased after 2012 when

deep learning outperformed previous AI techniques.This growth accelerated further after 2017 with the transformer architecture,and by the early 2020s many billions of dollars were being invested in AI and the field experienced rapid ongoing progress in what has become known as the

AI boom. The emergence of advanced generative AI in the midst of the AI boom and its ability to create and modify content exposed several unintended consequences and harms in the present and raised concerns about the risks of AI and its long-term effects in the future, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.