Artificial Intelligence - RedTopic

 

                        Artificial Intelligence 

Artificial intelligence is the theory and development of computer systems that are able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.

Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs, and perform human-like tasks. Most AI examples that you hear about today—from chess-playing computers to self-driving cars—rely heavily on deep learning and natural language processing. AI is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with human beings. It is technology with the ability to reason and solve problems. AI mainly focuses on understanding and performing intelligent tasks such as reasoning, learning new skills, and adopting to new situations and problems. It is a combination of computer science, psychology, and philosophy (Mogali, Artificial Intelligence and its applications in Libraries).  Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

After this brief introduction, it’s time to delve into the main types of AI, starting with Text AI. It is a form of artificial intelligence that can be leveraged extensively by businesses for example in the fields of machine translation, text recognition, and speech-to-text conversion. While these areas are normally associated with internet giants like Amazon, small and medium-sized businesses can also benefit from similar tools, for example for their knowledge base.

                                                                                                                                                                      Thanks to Visual AI, which deals firstly with computer vision and the field of augmented reality, it’s possible for businesses to scan, identify and categorize objects or to get useful insights from pics and videos. It is an excellent tool for a giant range of applications, from security cameras to waste sorting and management, from the maintenance of machines and facilities to car damage recognition and estimate. Even artisans and manufacturers can benefit from it, for example by enhancing the quality check of their products with high-performing cybernetic eyes!

Did I mention chatbots already? Well, together with intelligent assistants, they are the typical result of this type of artificial intelligence. Interactive AI is at the heart of business automation when it comes to improving communication speed (making it available 24 hours a day) without losing points on the quality of interactions. It gives computers the ability to answer predefined questions and even understand the context of a conversation, especially when paired with machine learning and deep learning technologies.

Analytic AI is a type that is strictly related to and influenced by machine learning and deep learning tech. In fact, its main focus is on scanning immense datasets to recognize recurring patterns and relations and use the information collected to give insights or even to forecast possible future developments. This is a crucial factor for the decision-making processes of any company, which should always be primarily based on data, of course.

Functional AI shares analytic AI’s passion for rummaging among massive datasets and searching for interesting relations and patterns. The main difference between these two types concerns their “attitude”. While analytic AI deals with recommendations, functional AI likes action! For example, if one sensor detects a fault in some machine of your factory, the AI-based system will recognize the problem by comparing its actual working pattern with the standard one. Then, functional AI will not simply send a warning but also trigger the shutdown command. Yep, this AI has a great spirit of initiative.