Generative AI (Gen AI) software is an advanced form of AI that can create new and original content by learning from vast amounts of existing data. Unlike traditional software that operates based on predefined instructions and rules, generative AI uses machine learning models, particularly deep learning and neural networks, to analyze patterns, understand context, and produce human-like outputs in various forms, including text, images, videos, music, and even complex designs. This technology has revolutionized multiple industries by enabling automation, enhancing creativity, and streamlining complex tasks that previously required human effort. 

The market by value in this report is defined as the revenues that enterprises gain from goods and/or services sold within the specified market and geography. • Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

全球会话商务市场规模和份额分析增长趋势和预测

Anti-plagiarism software enables end-users to compare written content with that available on the Internet to check whether such content is original or has been plagiarized from another person/organization/domain.

The graphics processing unit (GPU) is a type of computing technology that is designed for parallel processing and is used in a varied range of applications, such as graphics and video rendering. GPUs are also gaining traction across innovative production and artificial intelligence (AI). These units were initially designed to increase the speed of executing 3D graphics, and over time, they became flexible and programmable because of their enhanced capabilities, which allow graphics programmers to create interesting visual effects and realistic scenes with advanced lighting and shadowing techniques. Furthermore, other users also began to tap the power of GPUs to accelerate additional workloads in high-performance computing (HPC) and deep learning, among others.

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