ARIES 2.0.9.3030

AIT Microsoft® Glossaries Team – Shareware – Android

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The ARIES glossary is a comprehensive collection of terms and acronyms related to Artificial Intelligence (AI), Robotics, Internet of Things (IoT), and Edge Computing. Created and maintained by the Microsoft® Glossaries Team at AIT, this glossary is an invaluable resource for professionals, students, and anyone interested in these fields.

The ARIES glossary includes definitions of key concepts, abbreviations and industry terminology. It also provides helpful explanations, examples and cross-references to related terms. The glossary is constantly updated with new terms and revised definitions to reflect the latest advancements in these rapidly evolving technologies.

The ARIES glossary is organized into specific categories, such as AI algorithms, Robotics applications, IoT devices, and Edge Computing architectures. Within each category, terms are listed alphabetically to facilitate quick and easy access to information. In addition, the ARIES glossary includes helpful links to online resources that provide additional information on the topics covered.

<ul>
 <li>AI algorithms: This category includes terms related to machine learning, neural networks, natural language processing, computer vision, deep learning and other AI algorithms.</li>
 <li>Robotics applications: This category includes terms related to industrial robots, drones, autonomous vehicles, robotic process automation (RPA) and other applications of robotics technology.</li>
 <li>IoT devices: This category includes terms related to smart devices, sensors, actuators, wearables and other IoT technologies.</li>
 <li>Edge Computing architectures: This category includes terms related to edge devices, fog computing, cloud computing and other architectures that enable distributed computing at the edge of the network.</li>
</ul>

The ARIES glossary is an essential reference tool for anyone seeking a deeper understanding of AI, Robotics, IoT or Edge Computing. With its clear and concise definitions and helpful cross-references, this glossary is an invaluable resource for researchers, developers, educators, and students alike.

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