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Meta AI is an internationally recognized research organization specializing in artificial intelligence^[1] (AI). Initially established as Facebook^[5] Artificial Intelligence Research (FAIR) in 2013, Meta AI has continually evolved through global collaborations, including partnerships with tech leaders such as Google^[8], Amazon, IBM, and Microsoft^[6]. The organization’s research achievements are wide-ranging, encompassing AI developments for virtual world^[3] creation, automated translation^[4], and speech technologies. Meta AI also focuses on various AI fields, including computer^[9] vision, natural language processing, conversational AI, ranking systems, and unsupervised machine translation. In addition to its software developments, Meta AI has made strides in hardware, introducing its first AI inference^[7] accelerator. Lastly, Meta AI is dedicated to enhancing its research tools and initiatives, particularly in image captioning, user experience^[2], safe communication, and faster NLP development.

Terms definitions

1. ↑ artificial intelligence.

1 Artificial Intelligence (AI) refers to the field of computer science that aims to create systems capable of performing tasks that would normally require human intelligence. These tasks include reasoning, learning, planning, perception, and language understanding. AI draws from different fields including psychology, linguistics, philosophy, and neuroscience. The field is prominent in developing machine learning models and natural language processing systems. It also plays a significant role in creating virtual assistants and affective computing systems. AI applications extend across various sectors including healthcare, industry, government, and education. Despite its benefits, AI also raises ethical and societal concerns, necessitating regulatory policies. AI continues to evolve with advanced techniques such as deep learning and generative AI, offering new possibilities in various industries.

2 Artificial Intelligence, commonly known as AI, is a field of computer science dedicated to creating intelligent machines that perform tasks typically requiring human intellect. These tasks include problem-solving, recognizing speech, understanding natural language, and making decisions. AI is categorized into two types: narrow AI, which is designed to perform a specific task, like voice recognition, and general AI, which can perform any intellectual tasks a human being can do. It's a continuously evolving technology that draws from various fields including computer science, mathematics, psychology, linguistics, and neuroscience. The core concepts of AI include reasoning, knowledge representation, planning, natural language processing, and perception. AI has wide-ranging applications across numerous sectors, from healthcare and gaming to military and creativity, and its ethical considerations and challenges are pivotal to its development and implementation.

2. ↑ user experience. User Experience (UX) is a broad term that encompasses every aspect of an end-user's interaction with a company, its services, or its products. This includes users' perceptions and responses, both emotional and cognitive, during and after the use of a system, product, or service. User Experience also involves users' beliefs, preferences, and behaviors. While usability, a component of UX, focuses on the practical aspects of a system, UX incorporates a holistic view of system use. User experience is a vital factor in increasing brand loyalty and customer base growth. Its history dates back to the Machine Age, with notable contributions from figures like Frederick Winslow Taylor, Henry Ford, and Donald Norman. Today, technology advancements continue to shape and expand the field.Developer Experience (DX) is the analog of UX for software developers. It represents the experience developers have with the tools, processes, and software they use in their work. A high-quality DX can significantly impact the overall user experience, thus contributing to the success of the product. The importance of DX is increasingly recognized in the field of software services, where ease of use can serve as a key market differentiator. This concept has been explored by various authors and researchers, and it's also emphasized in international standards like ISO 9241-210, which advocates for human-centered design.

Glossary

Meta AI (Wikipedia)

This article's tone or style may not reflect the encyclopedic tone used on Wikipedia. See Wikipedia's guide to writing better articles for suggestions. (May 2022) (Learn how and when to remove this template message)

Meta AI is an artificial intelligence laboratory owned by Meta Platforms Inc. (formerly known as Facebook, Inc.). Meta AI develops various forms of artificial intelligence, including augmented and artificial reality technologies. Meta AI is also an academic research laboratory focused on generating knowledge for the AI community. This is in contrast to Facebook's Applied Machine Learning (AML) team, which focuses on practical applications of its products.

Meta AI

Industry	Artificial intelligence
Founded	December 11, 2015; 8 years ago (2015-12-11)
Founders	Yann LeCun Mark Zuckerberg Rob Fergus
Headquarters	Astor Place, New York City, New York, U.S.
Owner	Meta Platforms
Website	ai.meta.com

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