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2. Artificial intelligence systems integration - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence...

   Most artificial intelligence systems involve some sort of integrated technologies, for example, the integration of speech synthesis technologies with that of speech recognition. However, in recent years, there has been an increasing discussion on the importance of systems integration as a field in its own right.

3. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

4. Negotiating Autonomy with AI Communication Technologies: A ...

   www.aol.com/negotiating-autonomy-ai...

   First, while there has been a lot of talk on whether AI should automate or augment tasks (i.e., take over tasks completely or work in conjunction with human efforts), we think that delegation to ...

5. Your 'friendly AI assistant' has arrived to your search bar ...

   www.aol.com/friendly-ai-assistant-arrived-search...

   Meta AI and other modern AI chatbots are at their core interfaces to large language models, systems trained by massive datasets of text covering a wide range of topics that recognize word usage ...

6. Information and communications technology - Wikipedia

   en.wikipedia.org/wiki/Information_and...

   Information and communications technology (ICT) is an extensional term for information technology (IT) that stresses the role of unified communications [1] and the integration of telecommunications (telephone lines and wireless signals) and computers, as well as necessary enterprise software, middleware, storage and audiovisual, that enable users to access, store, transmit, understand and ...

7. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...