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Decentralized Internet of things, or decentralized IoT, is a modified IoT which utilizes fog computing to handle and balance requests of connected IoT devices in order to reduce loading on the cloud servers and improve responsiveness for latency-sensitive IoT applications like vital signs monitoring of patients, vehicle-to-vehicle communication ...
The industrial internet of things ( IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and ...
The Artificial Intelligence of Things ( AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics. [ 1][ 2][ 3] In 2018, KPMG published a foresight study on the ...
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Hardware for artificial intelligence. Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. As of 2023, the market for AI hardware is dominated by GPUs. [ 1]
Matter is a freely available connectivity standard for smart home and IoT (Internet of Things) devices. [ 2][ 3][ 4] It aims to improve interoperability and compatibility between different manufacturers and security, and always allowing local control as an option. [ 5][ 6][ 7] Matter originated in December 2019 as the Project Connected Home ...
One of Wall Street's most influential strategists is sounding the alarm bell on the red-hot AI trade. "AI is sucking all of the oxygen out of the room. But now I think we are entering that ...
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]
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