Changing the reality of several sectors, from industry to medicine, AI has experienced accelerated growth. Clearly and concisely understanding the terms and concepts surrounding the world of AI is critical for professionals, students, and enthusiasts navigating the vast field of innovation.
In this article, we will explore the world of technology with an AI glossary, unraveling the essential terms. Our goal is to provide a valuable resource that assists in ventures and collaborates positively in the field of AI. Follow along!
Making use of extensive computer databases, Deep Learning is an approach that has enabled enhancement to recognize images, process audios, and even outperform humans in some activities.
A dynamic and vital interdisciplinary field, Data Science explores, collects and analyzes data, seeking not only to reveal hidden patterns, but also to extract deep knowledge and actionable insights that can guide decision making effectively.
The term Big Data refers to an essential concept in information technology that deals with vast and complex data sets, the scale and nature of which challenge traditional processing and storage methods.
To meet the challenges of handling the high volume of data at their touchpoints, organizations adopt advanced analytics techniques such as data mining, machine learning, and artificial intelligence.
Cognitive Computing encompasses a set of technological advances that make it possible for computer systems not only to process information, but also to learn autonomously to develop complex reasoning, as well as to make decisions based on data and contexts.
Machine Learning represents an advanced data analysis method that automates the creation of analytical models. Inserted within the scope of AI, this field is based on the design of systems that can acquire the ability to learn through data, enabling them to make decisions without human intervention.
Natural Language Processing (NLP)
Known by the acronym NLP, this is a field of AI aimed at understanding human language, enabling a fluid and efficient interaction between computer systems and individuals.
This technology underpins the operation of virtual assistants, such as Siri and Alexa, and extends to areas such as sentiment analysis in social networks and the creation of textual summaries.
Transformer is an AI with neural network structure created by Google in 2017, and has served as the foundation for numerous sophisticated language models. One of the most notable examples is Chat GPT, an acronym for Generative Pretrained Transformer.
Cloud computing is a flexible, on-demand delivery of computing resources, such as data storage and processing power, without the need for direct user management.
This technique allows organizations and individuals to easily access scalable and shared technological resources through the Internet.
In order to bring AI into the conversational universe, chatbots function as software programs that have the ability to conduct dialogues with humans using natural language. They are employed on a variety of digital platforms, such as messaging apps and websites, promoting interactions between people and organizations.
Narrow AI and General AI
Narrow AI comprises all current applications on machines performing certain highly specialized tasks, while General AI represents the initial vision of creating intelligent machines and using them in decision-making.
This AI glossary is more than a collection of definitions: it’s an invitation to explore the vast territory of this new universe that is growing exponentially. With continuous progress at record speed, new concepts and applications emerge every day.
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